Sanika

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About Sanika

Sanika is a team lead at Turing. She regularly contributes to the Times of India and Femina. As a researcher, she collaborates with the United Nations, UNESCO, and the British Council. Sanika has worked for Women and Child Development as a part of her government fellowship program. When she's not working, she's closely analyzing culture and gender performativity.

Turing AGI Icons Sam Altman
AI Services

Turing AGI Icons: Charting the Future with Sam Altman

In the first-ever event of the Turing AGI Icons series, OpenAI CEO Sam Altman explained how artificial general intelligence (AGI) will impact businesses.

Turing AGI Icons is dedicated to spotlighting the influential figures propelling the rapid advancement of artificial general intelligence. This series shares insights directly from icons leading the charge toward developing accessible and beneficial AGI at some of the world’s most cutting-edge companies.

The first event in the Turing AGI Icons series featured a conversation between Turing CEO Jonathan Siddharth and OpenAI CEO Sam Altman.

Here are some takeaways from the event.

1. Building AGI and helping people use it—one of the greatest quests in human history

Altman shared that building safe AGI and helping people deploy it widely would be a remarkable quest in human history. “I certainly cannot imagine a more fun, exciting, important thing to work on,” he mentioned. Altman also lauded the prosperity that would come from truly abundant intelligence with the ability to do things beyond what humans can do on their own. 

He added that it’s incredibly fun to be in the room at the forefront of scientific discovery. “We get to see what’s going to happen a little bit before anybody else, and we get to figure out, what I think, is the most interesting puzzle I can imagine. And so that’s quite rewarding to work on,” Altman explained. 

2. AGI is much more than its definition—it’s a continuous journey 

As the figurehead of OpenAI, Altman helped pierce through the fog surrounding AGI and its definition.

“I don’t think [the definition] matters. Honestly, I think AGI means smarter systems than what we have today; systems that are coming in at some point in the relatively approachable future. But we’re on this one continuum of increasing intelligence,” Altman elaborated. 

He mentioned that there were impactful inventions before AGI and that there will be more in the future. Therefore, viewing AGI as a continuum—as a continuous journey—is one of the most helpful mental shifts to make. 

3. 2024 will be about smarter, better models 

Talking about AGI’s journey this year, Altman mentioned that the models will get generally smarter. The one word he used to describe AGI was “capable.”

“I think that’s the special thing. It’s not that we’re going to add this modality or that modality or that we’re going to get better at this kind of reasoning or that part of the distribution. The whole thing is going to get generally smarter across the board. The fact that we’re living through this sort of AI revolution is going to seem much crazier in the history books than it does right now,” he said. 

4. A culture that values research, engineering, and safety 

One of the principles that Altman and the team believed in from the very beginning was equally valuing research, engineering, and safety. 

“We knew how to build a good engineering team and a good engineering culture. So, we brought that and research culture together. We started with safety because we really care about it. We were going to try our hardest to figure out how to make the system safe. And we did those three things for a while,” Altman explained.  

He further explained that building a culture that valued all of those principles was one of the most interesting and hardest challenges of the job.  “It was not like there was one first-class citizen [among the three] and everything else was neglected. So, we got all of those different areas of expertise to work together towards one harmonious ‘we care and we’re going to get the details right’ thing,” he added. 

The final word

Altman’s discourse touched on myriad facets of AGI, from its current landscape, ethical considerations, and challenges to its potential, and he hinted at a future where AGI became an integral part of our lives. 

Additionally, the event offered exclusive insight into the operations of the company pioneering the GenAI revolution with ChatGPT, including its vision for constructing beneficial, accessible, and safe AGI to enhance the well-being of humanity as a whole.

The promise of AI is boundless 

In a world where AI transformation is the new digital transformation, generative AI solutions are key to unleashing your business potential and maximizing your competitive advantage. Keeping pace with the evolving AI landscape can be challenging for even the most tech-savvy leaders. 

Turing can help you. Turing uses proprietary AI to help companies build enterprise applications, train and enhance LLMs, and hire on-demand technical professionals. Innovate your business with AI-powered talent. Head over to Turing.com for more information.

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By Mar 29, 2024
Tech Trends 2024
For Employers

Five Tech Trends to Watch Out for in 2024

These 5 technology trends will significantly influence business decisions over the coming years. Are you ready for them? 1. Quantum technology

What are tech trends 2024 all about? Last year, generative AI was all the buzz worldwide, and while AI will continue to be a highly discussed topic this year, other emerging tech trends are expected to play a pivotal role in solving today’s most pressing challenges for the world. Based on a recent article* by Capgemini, this blog post shares five technology trends that will significantly influence business and technology decisions over the coming years. Let’s get started.

Tech Trends 2024

Tech Trends 2024

1. Quantum technology

One cannot miss out on quantum technology when discussing tech trends 2024. Innovations in computing must be met with even better innovations in digital defense systems. Today, the world is leveraging AI and machine learning (ML) for threat detection and cyber security. Governments and companies alike are rapidly adopting a zero-trust security model based on the principle “never trust, always verify” to bolster digital defense. 

However, developments in quantum computing have given rise to new threats that may make existing encryption standards like RSA and ECC useless. Therefore, the development of quantum-resistant algorithms is becoming an urgent need for maintaining data privacy and security. 

“In the U.S., the standard for “post-quantum cryptography” (PQC), i.e., encryption algorithms believed to be resistant to quantum attacks, will be issued in 2024 by the National Institute of Standards and Technology. As the Quantum Computing Cybersecurity Preparedness Act requires public and private organizations supplying the U.S. government to be ready to migrate to PQC within a year after the NIST standards are released, this topic is bound to make its way into boardroom conversations in 2024,” mentions the article. 

This development will likely overturn cybersecurity standards worldwide. It will also impact global business leaders as companies initiate their quantum transition.

As one of the most important tech trends in 2024, the global quantum computing market is set to grow at a compound annual growth rate (CAGR) of 28.8 percent in the forecast period of 2024–2032 to attain a value of approximately US$8.2 billion by 2032.

2. Semiconductors

As one of the most traded goods in the world, semiconductors are an important facilitator of digital transformation. Moore’s law states that the number of transistors on a microchip doubles every two years, though the cost of computers is halved. However, is this theory reaching its end? 

Studies predict otherwise. Microchips will soon measure no more than 2 nanometers, and transistors will be no bigger than a bunch of atoms. But as we appear to be approaching the physical limit of chip miniaturization, chiplets will see notable advancements in 3D chip stacking and innovations in material science and lithography this year.

A speedy digital transformation is underway—worldwide semiconductor revenue is expected to grow by 17 percent in 2024, reaching $624 billion. This transformation, driven by digitally connected objects, from smartphones to e-vehicles to data centers and telecoms, will soon dominate industries globally.  

These advances will bring about tangible shifts in the semiconductor industry, with new gigafactories, business models, regulations, and foundry services developing in 2024.

3. Batteries

Next on the list of tech trends 2024 is batteries. Today, every country wants to reduce costs and improve the performance of batteries. The goal is to enhance energy storage and electric mobility, essential for transitioning to renewables and accelerating smart grids. The global battery market is set to reach US$276.3 billion by 2032, with a CAGR of 8.7 percent from 2024 to 2032.

“While LFP (lithium ferro-phosphate) and NMC (nickel manganese cobalt) are becoming standard for electric vehicle applications, several technologies with the chemistry of batteries are being explored, such as cobalt-free (sodium-ion) or solid-state batteries, with a likely acceleration in 2024,” quotes the article.  

The article further explains that cobalt-free batteries reflect a solid shift in battery technology, particularly for e-vehicles, because they have higher storage capacities for a lower price than traditional batteries. These batteries also minimize dependency on materials such as lithium, nickel, cobalt, graphite, and rare-earth minerals while delivering longer lifespans and better safety.

In a world steered by the energy transition and the fight against climate change, these advancements will enable more sustainable use of materials.

4. Space technology

Another significant tech trend in 2024 is the acceleration in space tech. Mankind is set to establish a permanent presence on the moon. Along with space travel, satellites will also be a key focus area in space tech this year.  

The developments in space technologies will propel scientific discoveries and help solve the planet’s most pressing challenges, including climate risks and depleting natural resources. Monitoring changes in air quality, ice and permafrost conditions, and forest cover and ecosystems are just some of the ways in which satellite data can help save our planet. 

For agriculture, such satellite data will help people to understand how water and energy should be deployed for crops. Additionally, satellites can document environmental damage caused by ships and tankers being emptied into the oceans.

Space tech also aims to tackle important global issues such as defense, sovereignty, and access to telecommunications. The current space tech revolution is driven by governments and the private sector, including startups and MNCs. Moreover, it is powered by various technologies such as 5G, advanced satellite systems, big data, and quantum computing.

“In 2024, this should accelerate innovation and support very promising technology projects in the field of sustainable spacecraft propulsion (either electric or nuclear) and new Low Earth Orbit constellations for seamless communications and quantum cryptography,” mentions the article.

The last space race transformed the world by enabling innovations like satellites, global positioning systems (GPS), integrated circuits, solar energy, composite materials, and more. This year, the return to the stars will catalyze similar revolutions in computing, telecommunications, and Earth observation.

5. Generative AI 

Just like last year, generative AI will continue to live up to the massive hype it created this year. The market is projected to reach US$66.62 billion in 2024 and grow with a CAGR of 20.80 percent between 2024 and 2030.

Large language models will grow phenomenally in the coming months. This development will pave the way for more compact and cost-efficient models operating on low-footprint installations with constricted processing capabilities, including on-edge or smaller enterprise architectures. 

2024 will also see a rise in multimodal AI that pushes beyond single-mode data processing to include multiple input types, such as text, images, and sound. Simply put, multimodal AI will bring us a step closer to replicating the human ability to understand and process diverse sensory information.

In addition, agentic AI—sophisticated systems that are autonomous and proactive—will mark a significant shift from reactive to proactive AI. Unlike traditional AI systems, which reply to user inputs and adhere to predetermined programming, AI agents are developed to comprehend their environment, set targets, and achieve them without direct human intervention.

Building large language models and revolutionary generative AI systems is costly and requires exceptional computation power. As a result, the year will also see development in open-source AI that enables developers to build on top of each others’ work, crunching costs and making AI access more inclusive. 

Today, business transformation is AI transformation. 

Are you looking to transform your business? 

Turing can help. 

Turing is the world’s first AI-powered tech services company that offers a vertically integrated solution that replaces traditional IT service offerings with an AI-based platform.

With over 3 million engineers, Turing uses AI to help businesses build groundbreaking products with custom application development and on-demand software engineering.

We leverage our AI experience to help clients convert their data into business value across various industries—deploying AI technologies around NLP, computer vision, and text processing. Our clients have witnessed great value in their supply chain management (SCM), pricing, product bundling and development, and personalization and recommendations capabilities, among many others. Our experts have mastered AI/ML development and implementation for top tech companies, including our own.

Get business solutions from top professionals in AI and ML. Head over to the Artificial Intelligence Services and Solutions page to learn more. 

So, what do these tech trends 2024 mean for you?

Technology is never static—it’s an ongoing process with implications for our daily lives. According to research, the technology trends mentioned in this blog post are set to reach an inflection point this year. These fields hold massive potential for solving the challenges facing us. It will be exciting to see how innovations in these fields shape up 2024 and the coming years.

Today, business and technology are inextricably linked. And keeping pace with the emerging tech landscape can be challenging for even the most tech-savvy leaders. 

Your modern software engineering challenges deserve modern development methodologies. 

This is where Turing can help you. 

Our Intelligent Talent Cloud uses AI to source, vet, match, and manage more than 3 million developers worldwide, enabling organizations to save time and resources as they build their dream engineering team in just 4 days. 

Our mix of AI, cloud, and application engineering solutions can take you from legacy to industry leader. We’ll help you build the world’s best engineering team for your project, vetted by AI.

Head over to the Turing Services page to learn more. 

 

*Capgemini article

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By Feb 2, 2024
Tech Trends 2023
For Developers

Tech Trends in 2023: A Round-up

2023 saw a range of game-changing tech trends. In this blog post, we’ll explore the top 8 tech trends that dominated 2023 and are likely to do so in 2024.

Technology thrives on innovation. Today, the tech sector is amidst a period of renewal and reinvention. After a challenging 2022, this year saw a range of game-changing tech trends with the potential to catalyze progress in business and society. No doubt, generative AI deserves a big chunk of the credit for driving this revival. Still, it’s just one of many advances this year that have the potential to drive sustainable, inclusive growth and solve complex global challenges.

So, what were the biggest tech trends in 2023 in addition to generative AI? Let’s have a look. 

Top tech trends in 2023

 Here’s a list of the top 8 tech trends that dominated 2023 and are likely to do so in 2024. 

1. Generative AI 

2023 was an incredible year for artificial intelligence, with the industry witnessing record adoption, funding, and innovation in the technology. The year saw an exponential rise in the use of generative AI thanks to products like ChatGPT, Bard, and IBM Watson. 

The establishment of large foundation models lowered experimentation costs in generative AI, inviting businesses to look at ways to integrate it into their products. This development increased industry adoption and forced generative AI products to become secure and ethical. 

A recent survey indicates that, despite GenAI’s nascent public availability, experimentation with the tools is already pretty common, and respondents expect the technology’s capabilities to transform their industries. The global generative AI market is worth over $13 billion and is expected to cross $22 billion by 2025.

Seventy-nine percent of all respondents said they’d had at least some exposure to generative AI. Another survey mentions that 68 percent of respondents said generative AI would help them better serve their customers, and 67 percent believed GenAI would allow them to get more out of other technology investments. As a result, generative intelligence is turning into an economic revolution instead of just a technological one.

Are you looking to transform your business? 

Turing can help. 

Today, business transformation is AI transformation. Turing is the world’s first AI-powered tech services company that offers a vertically integrated solution that replaces traditional IT service offerings with an AI-based platform.

With over 3 million engineers, Turing uses AI to help businesses build groundbreaking products with custom application development and on-demand software engineering. 

We leverage our AI experience to help clients convert their data into business value across various industries—deploying AI technologies around NLP, computer vision, and text processing. Our clients have witnessed great value in their supply chain management (SCM), pricing, product bundling and development, and personalization and recommendations capabilities, among many others. Our experts have mastered AI/ML development and implementation for top tech companies, including our own.

Get business solutions from top professionals in AI and ML. Head over to the Artificial Intelligence Services and Solutions page to learn more. 

2. Low-code and no-code platforms

AI parted ways with tech jargon and moved toward drag-and-drop interfaces. As a result, 2023 saw a massive rise in low-code and no-code AI solutions. AI operations and solutions became more functional without the need for coding expertise, making app development accessible to all. These platforms enabled companies to develop complex applications at the click of a button and revolutionized how businesses approach application development. 

The low-code development market is predicted to generate $187 billion by 2030, and low-code tools are expected to be responsible for over 65 percent of application development by 2024. Another survey pointed out that no-code and low-code platforms help crunch app development time by 90 percent. Thus, low-code and no-code development platforms will continue to be game-changers in the software development landscape in the coming years. 

3. Industrializing machine learning 

Industrializing machine learning is the systematic integration of machine learning processes and techniques into an organization’s operations to enhance efficiency, scalability, and strategic decision-making. 2023 saw businesses integrating machine learning into workflows and products to enhance human efficiencies with data-driven insights and position themselves for success in today’s data-centric environment. 

MLOps tools also helped companies move from pilots to viable business products, supercharge analytics solutions, and fix issues in production. Owing to the rapid development of machine learning services and solutions, the ML market is projected to grow at a 36.2 percent CAGR and surpass $200 billion by 2030. 

4. Web3

Web3, often called the next generation of the internet, reflects a digitalized world where authority and ownership are restored to the users, giving them more control over how their personal data is monetized. Web3 technologies like blockchain, cryptocurrencies, non-fungible tokens (NFTs), and decentralized autonomous organizations (DAOs) give people the tools to create online spaces that they truly own and even to implement digital democracies.

The market for these technologies has been snowballing lately. This trend will continue in the future. The massive adoption of 5G and 6G networks is expected to propel the growth of the Web3 blockchain market. By 2030, the Web3 market is predicted to reach $81.5 billion.

5. Blockchain 

Blockchain technology has become synonymous with trust and transparency, serving as the backbone for secure transactions and decentralized applications. The growth of blockchain in 2023, particularly in the sectors of finance, supply chain, and identity verification, marked a significant leap toward a more secure and verifiable digital infrastructure and made it an indispensable tool for businesses aiming to fortify their operations against cyber threats. Blockchain technology’s integration with AI and its diverse applications make it a key driver of innovation in the digital age.

As a result, the technology significantly impacted everything from AI and IoT to the metaverse and NFTs. Blockchain interoperability—the ability of blockchains to communicate with other blockchains—also made significant improvements this year. The global blockchain market, valued at $11.02 billion in 2022, is expected to surge to $265.01 billion by 2028, reflecting the growing demand for blockchain solutions and services. 

6. Edge computing

The last few years forced businesses to consider pushing beyond the traditional computation models of routing data to a remote data center. Edge computing emerged as a pivotal force that pushes data processing to the network’s periphery, nearer to the data source. This shift prioritizes speed and efficiency, enabling real-time insights without the latency bottleneck typically associated with cloud computing. 

Edge computing melds seamlessly with technologies like IoT and 5G. This integration led to several benefits, including lightning-fast data transmission, enhanced connectivity, reduced latency, facilitation of real-time analytics, and increased reliability. The edge computing market size is predicted to rise from $53.6 billion in 2023 to $111.3 billion by the year 2028 at a CAGR of 15.7 percent.

7. Quantum computing

Quantum computing, an innovation that overcomes the limitations of traditional computing, witnessed massive growth in 2023. The key developments in this field included a shift from processor benchmarks to practical implementation, quantum modularization for building large-scale quantum computers, enhanced error correction, and a growing focus on quantum communication and quantum software.

Quantum computing uses subatomic particles to generate new ways of processing and storing information. This feature enables computers to operate a trillion times faster than the fastest traditional processors. There is a global race to develop quantum computing at scale, with the market standing at $784 million currently and forecasted to reach $6.5 billion by 2033.

8. Sustainable technology

High carbon emissions are one of the biggest challenges the world is facing today. Sustainability is no longer a mere buzzword—it’s an operational mandate. In 2023, green IT initiatives escalated, with companies striving to reduce their carbon footprint through sustainable computing practices and eco-friendly solutions. 

Research predicts that by 2025, 50 percent of CIOs will have performance metrics merged with the sustainability of their IT organization. Designing energy-efficient computing devices, reducing the use of hazardous materials, and encouraging digital device recycling became areas of keen interest. Improved procedures for disposal and recycling, environmentally friendly production methods, and energy-efficient computers spearheaded IT sustainability practices throughout the year.

Conclusion

These tech trends transformed 2023, significantly impacting how we live, work, and interact with the world around us. From generative AI to quantum computing, these trends have opened up new possibilities for innovation and growth across various industries. 

Today, business and technology are inextricably linked. And keeping pace with the emerging tech landscape can be challenging for even the most tech-savvy leaders. Your modern software engineering challenges deserve modern development methodologies. 

This is where Turing can help you. 

Our Intelligent Talent Cloud uses AI to source, vet, match, and manage more than 3 million developers worldwide, enabling organizations to save time and resources as they build their dream engineering team in just 4 days. 

Our mix of AI, cloud, and application engineering solutions can take you from legacy to industry leader. We’ll help you build the world’s best engineering team for your project, vetted by AI.

Head over to the Turing Services page to learn more. 

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By Dec 22, 2023
What is Software Quality Assurance (1)
For Employers

What Is Software Quality Assurance, and Why Is It Important?

This post sheds light on the basics of software quality assurance, why it’s important, the different approaches to software QA, and how IT differs from software testing.

Software quality assurance plays a vital role in the software development life cycle. Enterprises are constantly churning out software applications left, right, and center to keep up with the increasing demand. While releasing software applications is one thing, it’s crucial to ensure that the product works the way you want it to. 

People are not just looking for a wide selection of software choices; they also want quality products. In this post, we’ll understand what is software quality assurance, its principles, ways to implement SQA, the different SQA approaches, the importance of SQA, and how it differs from software testing and quality control. So, let’s dive in!

What is software quality assurance? 

Software quality assurance (SQA) is a methodology to ensure that the quality of the software product complies with a predetermined set of standards.

What is the purpose of software quality assurance? SQA is not just a step in the development process; it functions in parallel with the software development life cycle. Businesses must ascertain that every part of the software, internal and external, is up to the predefined standard. SQA tests every block of this process individually to identify issues before they become major problems. 

  • Externally, businesses evaluate efficiency, reliability, and cost of maintenance.
  • Internal characteristics tested by software QA processes include structure, complexity, readability, flexibility, testability, and the coding practices developers have followed to develop the software.

What are the principles of software quality assurance?

Principles of Software Quality Assurance

Principles of Software Quality Assurance

Now that we’ve covered the basics of software quality assurance, let’s look at the principles. If you want to implement software quality assurance effectively, you must follow certain principles. These principles not only ensure that SQA is conducted efficiently but also see to it that your software product meets the best quality standards. 

Let’s look at the key principles one by one.

  1. Defect prevention: It is always better to prevent defects and errors in the software product than to correct them later. And so, the first principle of SQA emphasizes the importance of identifying and addressing potential issues early in the software development lifecycle. Unlike quality control, SQA focuses on fixing the root cause of defects and errors, and not just the symptoms. 
  2. Continuous improvement: Here’s the thing: SQA is not a one-time thing. It is more like an ongoing process you need to integrate into your software development lifecycle. In other words, the second principle, i.e., continuous improvement underlines the need to consistently monitor and improve the quality of the software product.
  3. Stakeholder involvement: SQA must involve all stakeholders in the software development process, including customers, developers, testers, QA team leads, and project managers. And thus, this third principle talks about the importance of collaboration and communication between the involved parties to ensure a smooth software development process.
  4. Risk-based approach: Last but not least, SQA must focus on identifying and addressing the most significant risks in the software product. Simply put, this principle emphasizes the importance of prioritizing risks based on their potential impact on the software product.

How to implement software quality assurance? 

How to implement software quality assurance

How to implement software quality assurance

To implement SQA effectively, it is essential to follow a structured approach. You can follow the below-mentioned steps to implement SQA:

  1. Define quality standards: Clearly define the quality standards that your software product must meet. This includes defining requirements, acceptance criteria, and performance metrics. These standards should be agreed upon by all stakeholders, including the development team, management, and customers.
  2. Plan SQA activities: Develop a plan for the SQA activities that will be performed throughout the software development life cycle. This plan should include reviews, testing, and documentation activities. It should also specify who will be responsible for each activity and when it will be performed.
  3. Conduct reviews: Conduct reviews of software artifacts such as requirements, design documents, and code. These reviews should be conducted by a team of experts who are not directly involved in the development process. This will help identify defects early in the development process and reduce the cost of fixing them later.
  4. Perform testing: Perform different types of testing such as unit testing, integration testing, system testing, and acceptance testing. Use automated testing tools to increase efficiency and reduce the risk of human error.
  5. Monitor and measure: Monitor and measure the quality of the software product throughout the development process. This includes tracking defects, analyzing metrics such as code coverage and defect density, and conducting root cause analysis.
  6. Improve continuously: Continuously improve the SQA process by analyzing the results of the monitoring and measuring activities. Use this data to identify areas for improvement and implement changes to the SQA process.

What are the different software quality assurance approaches?

We have divided this section into parts based on the approaches to software quality assurance. 

Part 1: From a broader perspective, there are two different approaches to software QA:

  1. Software quality defect management approach
    The software quality defect management approach focuses on counting and managing defects. The level of severity can generally categorize defects. Software development teams use tools like defect leakage matrices and clear and concise control charts to measure and enhance the capability of their software development process. 
  2. Software quality attributes approach
    The software quality attributes approach works by helping software engineers analyze the performance of a software product. This approach focuses on directing the engineer’s attention to several quality factors. While some of these attributes may overlap or fall under another, there are five essential quality characteristics that you should consider:
  3. Reliability. Reliability reflects the system’s ability to continue operating overtime under different working environments and conditions. The application should consistently return correct results.  
  4. Usability. Software applications should be easy to learn and navigate. This user-friendliness and effectiveness of utilizing the product are called usability.
  5. Efficiency. This software QA attribute indicates how well the system uses all the available resources. It is shown by the amount of time the system needs to finish any task.
  6. Maintainability. It shows how easy it is to maintain different system versions and support changes and upgrades cost-effectively.
  7. Portability. This software quality assurance attribute demonstrates the system’s ability to run effectively on various platforms — for example, data portability, viewing, hosting, and more.

Part 2: In addition to the ones mentioned above, there are different approaches to SQA that organizations can use based on the type of their software development process. 

  1. Traditional approach: The traditional approach, also known as the Waterfall mode, includes a sequential process where each phase of the software development lifecycle is completed before moving on to the next phase. Similarly, SQA is performed at the end of each phase to ensure that the requirements have been met before moving to the next phase. This approach involves requirement analysis, design, coding, testing, and maintenance to ensure that the software product is developed with minimal errors and defects and meets the desired quality standards.
  2. Agile approach: The Agile approach to SQA is an iterative, incremental, and flexible approach that focuses on delivering software products in small increments. This approach emphasizes collaboration between the development team and the stakeholders for a seamless and quick development process. Agile SQA is quite popular and focuses on self-organizing teams, continuous integration and testing, continuous delivery, and continuous feedback to ensure a high-quality software product.
  3. DevOps approach: Next is the DevOps approach. This is basically a combination of development and IT operations to ensure that the software product meets the requirements of the customers. This approach emphasizes collaboration, automation, and continuous delivery to deliver the software product quickly and efficiently. Just like Agile, DevOps best practices comprise continuous integration, continuous testing, and continuous deployment to deliver a high-quality product. This approach is great for projects that require frequent updates.
  4. Six Sigma approach: This is a data-driven approach that focuses on reducing defects and errors in the software product. The approach uses statistical tools and techniques to measure and improve the quality of the software product. It is suitable for projects that prioritize reducing defects and errors.
  5. Lean approach: This is an approach that focuses on efficiency and waste reduction in the software development process. It emphasizes continuous improvement and the elimination of non-value-added activities. It is suitable for projects that require a focus on efficiency and waste reduction.
  6. Continuous integration and continuous deployment (CI/CD) approach: This is an approach that focuses on continuous integration and deployment of software products. The CI/CD approach emphasizes automation, continuous testing, and continuous delivery of software products. It is suitable for projects that require continuous integration and deployment.
  7. Test-driven development (TDD) approach: This approach involves writing automated tests before writing the code to ensure that the code meets the requirements and specifications of the software product. TDD SQA involves various activities, such as writing unit tests, running the tests, and refactoring the code, to ensure that the software product is of high quality.
  8. Risk-based approach: Last but not least, the risk-based approach to SQA involves identifying and managing the risks associated with the software product. This approach is made up of risk assessment, risk mitigation, and risk monitoring to ensure that the software product meets the established standards. 

In conclusion, there are different approaches to software quality assurance that organizations can use to ensure that their software products meet the highest quality standards. The choice of approach depends on the organization’s goals, requirements, and resources. 

What is the importance of software quality assurance?

Why is Software Quality Assurance important

Why is Software Quality Assurance important?

The importance of SQA in software engineering can be divided into the following:

  1. Ensures a high-quality software product: Software quality assurance ensures that the software meets the specified quality standards and requirements. This results in software that is more reliable, efficient, and user-friendly.
  2. Saves time and money: SQA ensures that the developers find bugs and errors at the early stages of software development. Therefore, they spend a lot less time and money fixing them. 
  3. Builds a stable and competitive software product: Software architects specifically vet each block in the software development process against industry standards. Granular testing for different requirements like reliability, functionality, usability, portability, etc., helps ensure that their product is high-quality.
  4. Protects your company’s reputation: Businesses need to ensure that their product works as intended before releasing it into the market. If the customers notice the product’s errors before you do, it will significantly impact your brand image and reputation.
  5. Ensures security and compliance: Software quality assurance helps organizations ensure that their application is efficient, secure, and trustworthy. Most importantly, it helps them meet regulatory and industry-specific compliance requirements, such as those related to security and data privacy.
  6. Ensures customer satisfaction: Your software application has to fulfill all the needs to satisfy the customers. It has to work smoothly without any malfunctions. With software quality assurance processes in place, you can ensure that your product delivers everything that your audience expects.

Thus, the importance of software quality assurance cannot be underestimated. Conducting a thorough SQA is a vital step for launching a successful software product.

What is the difference between quality assurance and quality control?

Quality control and quality assurance are two important concepts in software development that are often confused with each other. Both these concepts are related to the quality of software products but differ in their approach and objectives. 

Below, we have listed the key differences between quality assurance and quality control in software development.

Difference between quality assurance and quality control (1)

Difference between quality assurance and quality control

Final thoughts 

The role of software quality assurance in software engineering is to ensure that software products and systems are developed and maintained to meet the required quality standards and functional requirements. SQA is a critical component of the software development life cycle (SDLC) that involves continuous monitoring and improvement of software development processes to identify and eliminate defects and errors in the software product. SQA is a great way for businesses to ensure that they have tested every part of their product to the highest standards before releasing it into the market. 

If you’re a business looking to launch a great software product, you cannot possibly undermine the importance of SQA. 

But before you start with software quality assurance, you need to hire developers who can help you build a product in the first place. With Turing, you can hire pre-vetted, highly skilled, and experienced software developers at excellent prices. The best part? You get a 14-day no-risk trial. If you decide to stop within two weeks, you pay nothing. 


FAQs

  1. What is software quality?
    Software quality is the study and practice that highlights the desirable and favorable attributes of a given software product. The two primary approaches to software quality are 1. defect management and 2. quality attributes.
  2. What are the three definitions of software quality?
    The three primary aspects of software quality are functional quality, structural quality, and process quality.
  3. What are the main software quality characteristics?
    Six of the most important quality characteristics are maintainability, correctness, reusability, reliability, portability, and efficiency.

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By , Nov 16, 2023
IaaS vs PaaS vs SaaS
Cloud Services

IaaS vs PaaS vs SaaS: Explaining the Key Differences

IaaS vs PaaS vs SaaS: IaaS provides computing infrastructure including servers and storage. SaaS helps in outsourcing the entire technology stack. PaaS…

IaaS vs PaaS vs SaaS: What’s the difference? IaaS, PaaS, and SaaS have gained tremendous popularity in recent years owing to the benefits they offer businesses of all sizes. These cloud computing service models provide organizations with cost-effective, scalable, and flexible solutions that can be tailored to their specific needs.

In this blog post, we will explore the key differences between IaaS, PaaS, and SaaS, their key characteristics, pros and cons, use cases, key differences, and examples. We will also discuss when to use each service to help you make informed decisions for your business.

Let’s get started. 

What are IaaS, PaaS, and SaaS?

Let’s understand the basics.

What is IaaS?

IaaS (Infrastructure as a Service) is a cloud computing service model that provides virtualized computing resources over the internet. In this model, a third-party provider hosts hardware, software, servers, storage, and other infrastructure components on behalf of its users. IaaS is highly scalable and allows businesses to purchase resources on-demand, making it an ideal solution for temporary, experimental, or changing workloads.

Also, read: Infrastructure as Code (IaC): A Beginner’s Guide 2024

What is PaaS?

PaaS (Platform as a Service) is a cloud computing service model that provides a platform for developers to build, test, and deploy applications without worrying about the underlying infrastructure. PaaS includes tools, libraries, and services that enable developers to create and manage applications more efficiently. This model allows businesses to focus on developing their applications while the PaaS provider takes care of infrastructure management.

What is SaaS?

SaaS (Software as a Service) is a cloud computing service model that delivers software applications over the Internet. With SaaS, users can access software applications through a web browser, eliminating the need for installing and maintaining software on individual devices. SaaS providers manage the underlying infrastructure, ensuring that the applications are always up-to-date and available.

IaaS vs PaaS vs SaaS: Characteristics

Characteristics of IaaS, PaaS, and SaaS

Characteristics of IaaS, PaaS, and SaaS

Now that we’ve covered the basics, let’s understand the key characteristics of each.

IaaS Characteristics

The key characteristics of IaaS include 

  1. Scalability: IaaS offers on-demand resources, allowing businesses to scale up or down as needed.
  2. Cost-effective: Users only pay for the resources they consume, reducing upfront costs.
  3. Customization: IaaS provides a high level of control over the infrastructure, enabling businesses to tailor their environment to their specific needs.
  4. Security: IaaS providers typically offer robust security measures, including firewalls, intrusion detection, and encryption.

PaaS Characteristics

The key characteristics of PaaS include: 

  1. Developer tools: PaaS includes a suite of tools and services designed to streamline application development and deployment.
  2. Middleware: PaaS provides middleware services, such as database management, messaging, and caching, to support application development.
  3. Scalability: PaaS platforms can automatically scale resources to accommodate changing workloads.
  4. Collaboration: PaaS enables developers to collaborate on projects more easily, as they can access the same tools and resources from anywhere.

SaaS Characteristics

The key characteristics of SaaS include: 

  1. Accessibility: SaaS applications are accessible from any device with an internet connection, making them ideal for remote work.
  2. Automatic updates: SaaS providers handle software updates, ensuring that users always have access to the latest features and security patches.
  3. Subscription-based pricing: SaaS typically uses a subscription pricing model, allowing businesses to pay for only the features they need.
  4. Integration: SaaS applications often integrate with other cloud services, streamlining workflows and data sharing.

IaaS vs PaaS vs SaaS: Pros and Cons

IaaS, PaaS, and SaaS: Pros and Cons

IaaS, PaaS, and SaaS: Pros and Cons

In order to understand these cloud computing service models better, it’s essential to make a note of their pros and cons.

IaaS Pros and Cons

Pros:

  1. Flexibility: IaaS offers businesses the flexibility to scale resources up or down as needed.
  2. Cost savings: IaaS eliminates the need for businesses to invest in and maintain their own hardware, reducing capital expenses.
  3. Control: IaaS provides businesses with control over their infrastructure, allowing them to customize their environment to meet their specific needs.

Cons:

  1. Management: IaaS requires businesses to manage their infrastructure, which can be time-consuming and complex.
  2. Security: While IaaS providers offer security measures, businesses are still responsible for securing their applications and data.

PaaS Pros and Cons

Pros:

  1. Faster development: PaaS provides tools and services that streamline application development, enabling developers to build and deploy applications more quickly.
  2. Reduced complexity: PaaS abstracts the underlying infrastructure, allowing developers to focus on writing code rather than managing servers and networks.
  3. Cost savings: PaaS eliminates the need for businesses to invest in and maintain their own development infrastructure.

Cons:

  1. Limited customization: PaaS platforms may not offer the same level of customization as IaaS, which can be a drawback for businesses with unique requirements.
  2. Vendor lock-in: Businesses may become dependent on a specific PaaS provider, making it difficult to switch platforms or migrate applications.

SaaS Pros and Cons

Pros:

  1. Ease of use: SaaS applications are easy to use and require no installation or maintenance, making them ideal for businesses with limited IT resources. 
  2. Cost savings: SaaS eliminates the need for businesses to invest in and maintain their own software, reducing capital expenses.
  3. Automatic updates: SaaS providers handle software updates, ensuring that users always have access to the latest features and security patches.

Cons:

  1. Limited customization: SaaS applications may not offer the same level of customization as IaaS or PaaS, which can be a drawback for businesses with unique requirements.
  2. Data security: While SaaS providers typically offer robust security measures, businesses must still trust the provider to protect their sensitive data.

IaaS vs PaaS vs SaaS: Use Cases and Examples

Here are some of the most common examples of IaaS, PaaS, and SaaS

IaaS Use Cases and Examples

  1. Big data analysis: IaaS provides the scalable resources needed to process and analyze large datasets, making it ideal for big data projects. Example: Amazon Web Services (AWS) EC2.
  2. Backup and disaster recovery: IaaS enables businesses to store backups and implement disaster recovery solutions in the cloud, ensuring data protection and business continuity. Example: Microsoft Azure Virtual Machines.

Also, read: Azure vs AWS: Which is Better? 

  1. Web hosting: IaaS provides the infrastructure needed to host websites and web applications, offering scalability and flexibility. Example: Google Cloud Compute Engine.

PaaS Use Cases and Examples

  1. Application development: PaaS provides a platform for developers to build, test, and deploy applications quickly and efficiently. Example: Heroku.
  2. Internet of Things (IoT) development: PaaS offers tools and services that support IoT development, enabling businesses to create and manage connected devices. Example: IBM Watson IoT Platform.
  3. Microservices architecture development: PaaS supports the development and deployment of microservices, allowing businesses to build modular, scalable applications. Example: Red Hat OpenShift.

SaaS Use Cases and Examples

  1. Customer relationship management (CRM): SaaS CRM solutions enable businesses to manage customer data, track interactions, and analyze customer behavior. Example: Salesforce.
  2. Project management: SaaS project management tools help teams collaborate, track progress, and manage resources more effectively. Example: Trello.
  3. Human resources management (HRM): SaaS HRM solutions streamline HR processes, such as recruiting, onboarding, and benefits administration. Example: Workday.

IaaS vs PaaS vs SaaS: When to Use IaaS, PaaS, and SaaS?

When to use IaaS, PaaS, and SaaS?

When to use IaaS, PaaS, and SaaS?

Each of these cloud computing service models has different use cases. Let’s take a look at them one by one.

When to use IaaS:

  1. When businesses require a high level of control over their infrastructure.
  2. When businesses need to scale resources up or down quickly to accommodate changing workloads.
  3. When businesses want to reduce capital expenses by outsourcing hardware and infrastructure management.

When to use PaaS:

  1. When businesses want to streamline application development and deployment.
  2. When businesses need a platform that supports collaboration among developers.
  3. When businesses want to reduce the complexity of managing infrastructure.

When to use SaaS:

  1. When businesses require easy-to-use software applications that are accessible from any device.
  2. When businesses want to eliminate the need for software installation and maintenance.
  3. When businesses prefer a subscription-based pricing model that allows them to pay for only the features they need.

IaaS vs PaaS vs SaaS: Key Differences

IaaS vs PaaS vs SaaS Key Differences

IaaS vs PaaS vs SaaS: Key Differences

The key differences between IaaS, PaaS, and SaaS can be understood by comparing them across various parameters. Here, we will discuss 10 different parameters to highlight the distinctions between these cloud computing service models.

  1. Service Model: IaaS provides virtualized computing resources, PaaS offers a platform for application development, and SaaS delivers software applications over the Internet.
  2. Infrastructure Management: IaaS users are responsible for managing their infrastructure, while PaaS and SaaS users rely on the provider for infrastructure management.
  3. Application Development: IaaS does not include tools for application development, whereas PaaS provides a suite of tools and services for developers. SaaS focuses on delivering ready-to-use applications.
  4. Scalability: All three models offer scalability, but IaaS provides the most control over resource allocation, while PaaS and SaaS handle scaling automatically based on user demand.
  5. Customization: IaaS offers the highest level of customization, allowing users to tailor their infrastructure to their needs. PaaS offers some customization options, while SaaS typically has the least customization capabilities.
  6. Cost Structure: IaaS follows a pay-as-you-go model, where users pay for the resources they consume. PaaS usually has a subscription-based pricing model, with different tiers based on resource usage. SaaS also uses a subscription-based pricing model, with plans based on features and the number of users.
  7. Security: IaaS users are responsible for securing their applications and data, while PaaS and SaaS providers handle most security aspects, including infrastructure and application security.
  8. User Responsibility: IaaS users are responsible for managing their infrastructure, including servers, storage, and networking. PaaS users focus on application development and deployment, while SaaS users only need to manage their data and settings within the application.
  9. Deployment Speed: IaaS deployment can be time-consuming, as users need to set up and configure their infrastructure. PaaS enables faster deployment, as the platform is already set up for development. SaaS offers the quickest deployment, as users can access applications immediately through a web browser.
  10. Vendor Lock-in: IaaS users can easily migrate their infrastructure to another provider, while PaaS users may face challenges due to platform-specific tools and services. SaaS users may experience the most vendor lock-in, as migrating data and settings between applications can be complex.

IaaS vs PaaS vs SaaS Diagram

To visualize the differences between IaaS, PaaS, and SaaS, imagine a three-layered diagram:

  1. IaaS: The bottom layer represents the infrastructure, including hardware, servers, storage, and networking components.
  2. PaaS: The middle layer represents the platform, including tools, libraries, and services that support application development.
  3. SaaS: The top layer represents the software applications that users access through a web browser.
SaaS vs PaaS vs IaaS

SaaS vs PaaS vs IaaS diagram

Summary

In summary, IaaS, PaaS, and SaaS are three distinct cloud computing service models that offer businesses various levels of control, customization, and management. By understanding the key differences between these models, their characteristics, pros and cons, use cases, and examples, businesses can make informed decisions about which cloud service is best suited to their needs.

If you’re looking to hire developers skilled in IaaS, PaaS, or SaaS, try Turing. Hire the top 1% of the 3 million developers in Turing’s talent pool in just 4 days.


FAQs

  1. What is the difference between IaaS, PaaS, and SaaS?

    IaaS provides virtualized computing resources, PaaS offers a platform for application development, and SaaS delivers software applications over the Internet. IaaS users manage their infrastructure, PaaS users focus on application development, and SaaS users only need to manage their data and settings within the application.
  2. How do I choose between IaaS, PaaS, and SaaS for my business?

    Consider your business requirements, the level of control and customization you need, and your IT resources. Choose IaaS if you need control over infrastructure, PaaS for streamlined application development, and SaaS for ready-to-use applications with minimal management.
  3. What are the cost structures for IaaS, PaaS, and SaaS?

    IaaS follows a pay-as-you-go model based on resource usage, PaaS uses subscription-based tiered pricing, and SaaS offers subscription-based pricing based on features and the number of users.
  4. How do IaaS, PaaS, and SaaS handle scalability?

    All three models offer scalability, but IaaS provides the most control over resource allocation, while PaaS and SaaS handle scaling automatically based on user demand.
  5. Are IaaS, PaaS, and SaaS secure?

    IaaS users are responsible for securing their applications and data, while PaaS and SaaS providers handle most security aspects, including infrastructure and application security. However, businesses should still evaluate the security measures provided by their chosen cloud service provider.
  6. What are some examples of IaaS, PaaS, and SaaS providers?

    IaaS examples include Amazon Web Services (AWS) EC2 and Microsoft Azure Virtual Machines. PaaS examples are Heroku and Red Hat OpenShift. SaaS examples include Salesforce and Trello.
  7. Can I use a combination of IaaS, PaaS, and SaaS for my business?

    Yes, many businesses use a hybrid approach, combining different cloud service models to meet their specific needs. For example, a company might use IaaS for its infrastructure, PaaS for application development, and SaaS for specific software applications.
  8. What is vendor lock-in, and how does it affect IaaS, PaaS, and SaaS users?

    Vendor lock-in occurs when a business becomes dependent on a specific provider, making it difficult to switch platforms or migrate applications. IaaS users can more easily migrate their infrastructure, while PaaS users may face challenges due to platform-specific tools. SaaS users may experience the most vendor lock-in, as migrating data and settings between applications can be complex.
  9. How do IaaS, PaaS, and SaaS impact deployment speed?

    IaaS deployment can be time-consuming, as users need to set up and configure their infrastructure. PaaS enables faster deployment, as the platform is already set up for development. SaaS offers the quickest deployment, as users can access applications immediately through a web browser.
  10. What are the main advantages of using cloud services like IaaS, PaaS, and SaaS?

    Cloud services offer numerous benefits, including cost savings, scalability, flexibility, and reduced IT management. IaaS provides control over infrastructure, PaaS streamlines application development, and SaaS delivers ready-to-use applications with minimal management.

Tell us the skills you need and we'll find the best developer for you in days, not weeks.

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By , Oct 1, 2023
Svelte vs React Which JavaScript Framework Is Better
Software Comparisons

Svelte vs React: Which JavaScript Framework Is Better?

Svelte vs React: Svelte is a front-end JavaScript compiler, simple and easy to use. React is a front-end JavaScript library that uses 3rd-party components.

Svelte vs React: What is Svelte used for? Is Svelte better than React? Why is Svelte so good? What makes Svelte different? Find answers to these questions, and more information, in the article below.

Svelte is a free and open-source front-end compiler based on JavaScript language. React is a front-end JavaScript library that uses multiple third-party components to design UI elements. The article explains the differences between Svelte vs React in detail. 

Developers use JavaScript frameworks like Svelte and React to create, design, and code functional websites. Knowing the difference between Svelte and React would help web developers decide which frameworks to choose.

Table of Contents

Svelte vs React: What is Svelte?

Developed by Rich Harris in 2016, Svelte is a free, open-source front-end compiler. Svelte compiles HTML templates to create unique code that manipulates the Document Object Model directly. Unlike traditional JavaScript frameworks like React, Svelte avoids overheads associated with the virtual DOM. 

The way Svelte operates reduces the transferred file size and offers better client performance. The compiler processes the application code inserts calls to automatically update the data, and re-renders UI elements affected by that data. Svelte is written in the TypeScript language, a superset of JavaScript. 

When should you use Svelte?

Svelte is known for simplicity, as its code closely resembles Vanilla JavaScript. Svelte allows developers to complete their objectives with fewer lines of code. Developers should use Svelte if they are targeting a very small package size for their website.

Programs written in Svelte are useful for application in low-capacity or low-power devices. Svelte tools and frameworks provide enhanced control over state management, routing, and building customized infrastructure. Svelte is useful for DOM manipulation, reactive frameworks, and emerging markets. 

Which companies use Svelte?

Major companies such as Yahoo, Rakuten, Bloomberg, Meta, Apple, The New York Times, Square, ByteDance, Spotify, Reuters, Ikea, Brave, and others rely on Svelte for their websites. Companies prefer Svelte because it converts the application’s code to ideal JavaScript while coding. Thus, framework abstractions do not hamper the performance of apps written in Svelte.

Svelte vs React: What is React?

Developers use React as a front-end JavaScript library to build user interfaces. The Meta (Facebook) maintains the UI components, and a community of developers and organizations work together to release improved versions. React is used as a base for developing websites, mobile applications, and server-rendered apps. 

React is useful for state management and for rendering that state onto the DOM. The development of React applications requires the usage of additional libraries. The knowledge of routing, client-side coding, and design patterns is a prerequisite for developing React components.

Also, read: Top 25 ReactJS Questions and Answers for 2023

When should you use React?

React is a flexible component library that is perfect for state management. Thus, websites and apps that use React components can exchange data without reloading the page. React should be used for user interfaces that require a lot of user interaction. 

React corresponds to ‘view’ in the model-view-controller. Thus, managing lower-level algorithms with React is easy, and coding is required only for the interface’s view model. React’s Virtual DOM improves website performance and reduces lags to enhance loading times. 

Which companies use React?

Highly successful organizations like Meta, Instagram, Salesforce, Shopify, Discord, Skype, and Pinterest use React to develop user interfaces. Due to the availability of a large number of developers globally, companies prefer React to create the front-end part of their websites. 

React is fast, easy to implement, and scalable, making it a popular choice among developers and organizations. 

Also, read: Why You Should Use ReactJS for Your Projects.

Svelte vs. React: Which is better? 

React and Svelte are both popular choices for building modern web applications. While they have similarities, they differ in key areas such as learning curve, performance, bundle size, state management, tooling and ecosystem, developer experience, and debugging

Developers may choose one of these frameworks over the other based on multiple factors and preferences. Let us compare their differences to help you choose the right JavaScript framework for your projects.

Difference between Svelte and React

Difference between Svelte and React

Learning curve

Let’s start with the Svelte vs React syntax differences first. React has a steep learning curve, especially for developers who are new to the world of front-end development. It requires a good understanding of JavaScript and the ability to work with complex state management. However, once developers are familiar with React, they can build complex UIs quickly and efficiently.

Svelte, on the other hand, has a relatively low learning curve. Its template language is easy to learn, and developers can quickly get up to speed with the framework. Svelte also has a small API surface, which means that there are fewer concepts to learn.

Performance

Traditional Document Object Model (DOM) triggers an update with each code change, which slows down the app’s performance. Virtual DOM speeds up the process by acting as temporary memory storage for changes made to the user interface. A process known as diffusion or reconciliation delays updates until updating and rendering can be carried out effectively.

React uses Virtual DOM to break down the app’s code when the code is executed. VDOM helps React perform faster than traditional JavaScript languages. But Svelte takes performance a bit further by ignoring the VDOM diffing process.

Svelte acts as a compiler that carries out DOM rendering through reactive programming. Whenever an assignment triggers a change in the component stage, the DOM is updated. Thus, as a serverless-first framework, Svelte is considered more reactive than React.

Bundle Size

Svelte’s .gzip version has a size of 1.6 kilobytes. On the other hand, React.gzip, when combined with ReactDOM, comes to a total size of 42.2 kilobytes. Svelte’s smaller bundle size ensures better loading speeds, better responsiveness, and reduced bandwidth costs. 

State management

The next point of comparison in the React vs Svelte battle is state management. React’s state management is based on a unidirectional data flow, where the state is passed down from parent components to child components. Now this approach can lead to complex code, especially when dealing with large and complex applications.

Svelte, on the other hand, uses a reactive approach to state management. This approach means that the UI automatically updates when the data changes, which makes it easier to manage the state of the application.

Testing

Code written in React can be tested with ‘end-to-end’ tests. React code of an application is tested in a realistic browser environment. This reduces your app’s time to market (TTM) and boosts its value. 

Svelte offers its testing library for unit testing. The Svelte testing library is smaller in size than React and offers simple computations. Thus, Svelte can help developers maintain clean, functional, and compressed code.

Also, read: 10 Popular Software Testing Trends in 2023

Tooling and ecosystem

Tooling and ecosystem are important factors to consider in the Svelte vs React battle. React has a large ecosystem of third-party tools and libraries, while Svelte’s ecosystem is still growing. However, Svelte’s small API surface and efficient compiler make it easier to use without the need for additional tools and libraries.

Developer experience

As you know, developer experience is important for productivity and maintaining code quality. React’s component-based architecture makes it easy to reuse code and build complex UIs quickly. Svelte’s template language and reactive programming approach make it easy to build UIs quickly and efficiently.

Community Support

React has a huge community of developers, as it is one of the most widely used JavaScript platforms in the world. The community of React developers creates tutorials, guides, updates, components, and more to maintain the usability of the JavaScript library.

The fact that a large-scale organization like Meta (Facebook) maintains React keeps React developers in high demand. 

Related Post: How to Hire React JS Developers?

Svelte is rather uncommon, but developers report high levels of satisfaction while using Svelte. The enterprise-level support for Svelte is fairly new, as Sveltekit 1.0 is yet to be released. The Svelte community is small, with only 11k developers, compared to more than 287k active React developers.

Debugging

Another important point when looking at the Svelte vs React battle is debugging. React’s debugging tools are well-developed and widely used by the community. 

Svelte’s debugging tools are less developed than React’s. However, this doesn’t mean that they are any less effective. Svelte’s compiler generates highly optimized code, which can make debugging more challenging. However, Svelte’s small API surface makes it easier to debug applications.

Maintenance

When it comes to maintenance, React wins over Svelte because it is maintained by Meta and a team of individual developers and companies. As a result, React has a dedicated team that works on the framework 24/7. But that’s not it! In the past few years, React saw quite a few big releases like functional components React Context, Hooks, etc., making it a favorite among many developers. 

But Svelte is no less. Svelte has an amazing maintenance team that works to keep the framework at the top of its game and in contention with React.

To conclude: when should you use Svelte and when should you use React?

When should you use Svelte and when should you use React

When should you use Svelte and when should you use React

Svelte and React have their own advantages and disadvantages. React is backed by Meta and hence quite reliable. Also, it’s a good choice for big projects that demand several features. React is also suitable for making complex user interfaces as it’s easy to create reusable components with the framework. Last but not least, React has a range of built-in features and tools. So if you need to develop large applications quickly, choose React. 

Svelte, on the other hand, is more suited for smaller projects that don’t demand a lot of features. Most importantly, Svelte is lightweight and uses less code. These features make it a wonderful option for projects with a focus on performance. What’s more, Svelte has a simpler learning curve, making it a good option for developers who are not too experienced with JavaScript. Furthermore, Svelte is perfect for building dynamic user interfaces as it compiles code into highly optimized JavaScript.

React vs Svelte: Who wins?

Consider your project requirements and the time you have first. The Svelte vs. React argument is straightforward when these two aspects are clearly defined. Use Svelte if performance and optimized code are your priorities. You can also go for Svelte for your projects to achieve a smaller bundle size, maintainable code, and exceptional performance without the VDOM. Due to the simplicity of the framework, Svelte enables developers to prepare a website faster. 

But if you need to build heavy, complex applications quickly, go for React. React makes it easy to maintain the stability of your application. An active community of React developers helps resolve doubts and bugs observed during development. 

If you’re an employer, using React for your projects will make it easier to hire software developers. Developing stable software products using React and Svelte requires companies to hire experienced software developers. Turing can help you hire brilliant, pre-vetted remote software developers for your projects at unbelievable prices. Visit the Hire page for more information.

If you’re a software developer looking for remote Svelte jobs or remote React jobs, try Turing. Work with top US companies and earn higher than your peers. Visit the Apply for Jobs page now. 

FAQs

Is Svelte better than React?

Yes, Svelte is a better option for you if you’re working on smaller projects that don’t demand a lot of features. As Svelte is lightweight and uses less code, it’s a wonderful option for projects with a focus on performance. Svelte has a simpler learning curve, making it a great option for developers who are not too experienced with JavaScript. Furthermore, Svelte is perfect for building dynamic user interfaces as it compiles code into highly optimized JavaScript.

What is better Svelte or React in 2023?

React and Svelte are excellent choices if you’re looking to build user interfaces. While React is great for building larger applications efficiently, Svelte is better suited for smaller applications demanding high performance.

Should I switch from React to Svelte?

If your priority is performance and optimized code, then go for Svelte. But if you’re looking to build large and complex applications quickly, then React may be the better option. In addition, if you want to build dynamic user interfaces, then Svelte is the better choice.

Is Svelte smaller than React?

Yes, Svelte is smaller than React in terms of bundle size because Svelte compiles your code at build time, resulting in smaller and more efficient code. On the other hand, React uses a larger runtime library to manage the component state and update the DOM. However, the actual size difference will depend on the specific project and its dependencies.

Is Svelte worth learning?

Yes, Svelte is definitely worth learning in 2023 as it is a popular JavaScript framework used for building user interfaces in web applications. Its fast performance, small size, and easy-to-learn syntax make it an attractive option for developers. Additionally, Svelte’s growing popularity suggests that it will continue to be relevant in the web development industry.

Svelte is a better choice for small to medium-sized projects with simpler components, where fast performance and a small codebase are essential. 

React is more suitable for large-scale projects with complex components and state management requirements, where a larger ecosystem of tools and libraries is needed. 

 

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By , May 5, 2023
Cost of hiring a software development team.HeroWP
For Employers

Did You Know about This Hidden Cost of Hiring A Software Development Team?

The cost of hiring a software development team is at an all-time high. But along with the regular costs, there are many other costs that companies forget when deciding how to hire a developer.

What is the cost of hiring a software development team? The IT hiring trends in 2023 suggest that tech talent is one of the most sought-after skills today. As a result, the cost of hiring developers is at an all-time high. But along with the regular costs, there are several additional costs that most companies don’t take into account when deciding how to hire a developer. This blog post will break down all these hidden costs to help you make the best hiring decision. Let’s get started. 

Cost of hiring talent—the current scenario

Today, hiring is more expensive and time-consuming than ever. Take a look at these stats:

  • It can take a company an average of six months to make back the money spent on a new employee.
  • Internal human resources teams can increase a company’s hiring costs by 50 percent or more.
  • A bad hire can cost a company up to 300 percent of the employee’s salary.
  • Companies can lose up to $15,000 or more on hiring an employee who leaves within one year.

Owing to these factors, the effort and cost of hiring a software development team have soared like never before. 

How much does it cost to hire a software developer?

According to Builtin, the average annual salary of a software developer in the U.S. is $127,946 per year ($61.51 per hour). 

Note: This is the average base salary in the U.S. Developer salaries can vary depending on their expertise and seniority. 

In addition to the average salary, the employer costs for hiring a software developer in the U.S. include

  • legally required benefits ( 7.6 percent of average salary) = $9,723.80
  • insurance (7.8 percent) =  $9,979.70
  • paid leave (7.4 percent) = $9,468
  • savings and retirement (3.5 percent) = $4,478
  • additional compensation premium and overtime (3.3 percent) = $4,222.20

If we take the average annual salary for software developers ($127,946) and calculate the above employer costs based on it, they amount to $37,871.7 So, after adding these costs to the average annual salary, the employer costs for hiring a software developer are $165,817.7 per year.

What costs go into hiring a software developer?

The cost of hiring a software development team is much more than their salary and benefits. Let’s break down these costs one by one. 

Sourcing

The first step to hiring a software development team is sourcing. Sourcing includes the following costs: 

Job boards

This cost will depend on the job boards you’re posting on. For example, LinkedIn allows you to post one free job posting at a time. This posting is visible in your network and search results. To attract good talent from job boards, you need to write a good posting.

You can also promote your job posting by setting up a daily or total budget. The higher the daily budget, the further up your job post will appear in job searches and the longer it will be marketed to LinkedIn members. The minimum daily budget for these postings is $10, whereas the minimum total budget is $100. Most job postings stay up for at least 30 days. And thus, you need to spend at least $100 to promote a job opening on LinkedIn. 

Other job boards like Indeed allow you to place ads without charge and increase visibility for $5 and up daily. In other words, Indeed can charge you up to $150 for promoting a job opening for 30 days.

Applicant tracking system

An applicant tracking system (ATS) is vital for a smooth recruitment process. A few ATS vendors charge a minimum flat fee between $200 and $350 per month. Apart from the flat fee, the ATS vendors usually offer three pricing models: 

  • Pay-Per-Recruiter ($60–$150 per month)
  • Pay-Per-Job-Opening ($5–$20 per month)
  • Pay-Per-Employee ($4–$7)

As your company grows, you may need to spend thousands of dollars annually on your ATS.

External recruiter costs

These costs make up a significant chunk of the total cost of hiring a software development tea. External recruiters usually charge 15–40 percent of the initial compensation of the new hire. Let’s consider an average of that range—25 percent. If you apply a recruitment fee of 25 percent to a developer’s average annual salary of $127,946, your external recruiter costs will amount to $31,986. 

Internal recruiter costs

As per Glassdoor, the typical compensation for a Human Resources Manager in the U.S. is $82,260 ($39.55 per hour). Research states that HR professionals spend a minimum of 30 hours per week on sourcing candidates. 

Considering this number, your internal recruiter costs would be

  • HR manager’s hourly salary ✕ number of sourcing hours
  •  $39.55 ✕ 30 hours = $1,186.50 

And thus, your total internal recruiter costs for sourcing candidates would be $1,186.50 per week.

Recruitment 

Once you have a list of suitable candidates, you need to assess, interview, and select the best ones. Let’s break down these costs one by one, 

Assessment

Assessment cost is also an important part of the total cost of hiring a software development team. Let’s assume you have 10 submissions, and you ask one of your internal developers to review them, and it takes approximately one hour to review each submission. 

If you’re paying them the average developer salary in the U.S., $127,946, the price of this review would be 

  • developer’s hourly salary ✕ number of review hours ✕ number of candidates
  • $61.51 ✕ 1 ✕ 10 = $615. 

So, your total assessment costs for reviewing candidate submissions would amount to $615.

Also, read: Why Should You Include Games in Candidate Assessment?

Interviews

As per Indeed, in-person interviews last between 45 and 90 minutes. Most companies conduct a short pre-screen call followed by two in-person interviews. Using the average interview time, these interviews would last for about two hours. 

You’d likely involve your in-house developer and technical hiring manager to ask interview questions. To better understand the costs involved, we’ll calculate the interview time based on the HR manager’s and developer’s average salaries. 

  • HR manager’s hourly salary ✕ number of interview hours ✕ number of candidates
  • $39.55 ✕ 2 ✕ 10 = $791
  • developer’s hourly salary ✕ number of interview hours ✕ number of candidates
  • $61.51 ✕ 2 ✕ 10 = $1230.20

Collectively, your interviews would cost $202.12 per candidate or $2,021 for all 10 candidates. 

Note: Not all candidates will reach the final round. But on the other hand, you are likely to interview more candidates in the initial stages.

Additional costs

Employers often tend to overlook additional costs. These usually include the following: 

Productivity loss

This is yet another major contributor to the cost of hiring a software development team. As per Investopedia, new employees function at about 25 percent productivity in the first month. This figure means that the cost of lost productivity is 75 percent of the employee’s salary. In our case, productivity loss would amount to 75 percent of the new developer’s monthly salary—$7,996.60. 

Also, read: 9 Ways Managers Can Boost Remote Workers’ Productivity

Onboarding and training expense

The Association of Talent Development shares that the training cost for a new employee is around $1,252. Similarly, a study by SHRM notes that the average onboarding cost per employee is a whopping $4,100. Together, these costs amount to $5,352. And so, companies should never overlook these expenses while calculating the total cost of hiring a software development team. 

Also, read: 10 Tips for Onboarding Remote Software Developers

The total cost of hiring a software developer

So considering all the costs mentioned above, our total cost of hiring a software developer comes down to the following.

Cost of hiring a software development team.1

The total cost of hiring a software developer: Tabular representation

Cost of hiring a software developer

The total cost of hiring a software developer: Graphical representation 

Cost of hiring a software development team based on the model of engagement

The cost of hiring a software development team depends on whether you’re looking to hire an in-house developer, hire a freelance developer, or partner with an IT service provider or talent cloud.

Hiring an in-house software development team 

If you’re looking to hire in-house developers, you must start from scratch. Hiring in-house developers involves everything from creating job descriptions, pushing out job postings, reviewing job applications, and scheduling and conducting interviews to assessing and shortlisting candidates. Since the process involves several steps, hiring in-house developers can cost you a fortune. 

Note: The cost of hiring an in-house developer depends on the developer’s location. Generally, software development costs are higher in developed countries than in developing countries.

How much does hiring in-house developers cost?

Consider these numbers.

Cost of hiring a software development team.3

The cost of hiring in-house developers 

If you add the associated costs mentioned in the earlier section, hiring an in-house developer in the U.S. can cost several hundred thousand dollars. Therefore, the massive cost is a significant disadvantage of in-house development teams.

Hiring a software development team through an IT service provider 

A popular alternative to in-house development teams is IT firms. Based in regions like India, China, Eastern Europe, and South America, these providers employ thousands of developers. Owing to their size, they mostly take up enterprise-level projects for corporate giants. However, most corporate clients understand this and know what they’re getting into. 

How much does hiring software developers through an IT service provider cost?

An enterprise-level agency can charge between $250 and $850 per hour and will often require massive budgets above $500,000 before they start working on a project. Next, we have agencies charging around $200–$300 per hour with contracts around six figures and up. Agencies accepting smaller contracts can cost between $75 and $180 per hour. Owing to the high costs, many companies prefer the alternative to IT service firms for hiring software development teams

When should you hire an agency? An agency can be a good option when you have big projects and not enough in-house talent.

Note: Hiring an agency does not mean you no longer have to manage your developers. This approach does, however, come with less management compared to outsourcing a team of freelance developers.

Hiring freelance developers 

Another popular alternative to in-house development teams is freelancers. Hiring a freelance software developer comes with different costs than hiring an in-house developer. With freelance developers, you need to take into account the sourcing, assessment, and communication costs. The two common costing models for hiring freelance developers are 

  • Project-based compensation
  • Time-based compensation

How much does hiring freelance developers cost? 

The cost of hiring a freelancer will depend on where they are located. Freelancers charge a higher hourly rate than in-house developers to cover their own benefits and other costs. Take a look at these costs.

Cost of hiring software developers.

The cost of hiring freelance software developers

According to UpWork, the median hourly rate of software developers is $20. Ultimately, a freelancer’s fee depends on where and how you hire them and the expertise/skills you are looking for.

Hiring a software development team through a Talent Cloud 

Talent Clouds use software to automatically source, vet, and manage talent worldwide. Turing is a leader in this new category with its intelligent Talent Cloud of developers, tech leads, and other engineering talent. Owing to its benefits, the Talent Cloud is rapidly becoming the most preferred alternative to IT service firms and freelance marketplaces for hiring software developers. 

How much does hiring software developers through a Talent Cloud cost?

With a Talent Cloud like Turing, you don’t have to worry about the cost of hiring a software development team, You can hire software developers starting from $40 per hour and up depending on seniority. But that’s not all. You can also:

Hire developers at half the cost in no time

With Turing, you pay less but don’t compromise on quality. You can access the world’s most deeply vetted developers and teams, matched by AI. The best part? You can hire these developers in less than four days!

Enjoy a 2-week, risk-free trial 

Turing gives you a 2-week, risk-free trial for your first developer. If you’re not happy with their work and decide to stop within two weeks, you pay nothing.  

Say goodbye to associated hiring costs

A Talent Cloud like Turing can help you save costs for 40+ hours of hiring time. You don’t have to worry about sourcing, vetting, and recruiting candidates as Turing does that for you.  

Comparing the cost of hiring developers: Hiring in-house vs. hiring freelancers vs. hiring through an IT service firm vs. hiring through a Talent Cloud 

Cost of hiring a software development team

Comparing the cost of hiring developers: Hiring in-house vs. hiring freelancers vs. hiring through an IT service firm vs. hiring through a Talent Cloud 

Summary

The cost of hiring a software development team depends on your engagement model and project goals. But considering the sourcing, recruitment, and additional costs, hiring software developers through a Talent Cloud like Turing is significantly cheaper than building an in-house team, hiring through an IT service firm, or hiring freelance developers. Learn more about building a dedicated software development team via a talent cloud like Turing.

Tell us the skills you need and we'll find the best developer for you in days, not weeks.

Hire Developers

By Feb 6, 2023
How to write a good job posting.
For Employers

How to Write A Good Job Posting? 15 Tips for Writing One!

How to write a good job posting? 1. Understand the difference between a job posting and a job description 2. Ensure your job posting has a catchy opening 3……

A good hiring strategy is incomplete without a good posting. Your job posting is essentially your first impression and first impressions matter. A well-written job posting can be the deciding factor between attracting average talent and attracting the best talent. But how to write a good job posting? Keep reading to find out. 

How to write a good job posting?

Recruiting is a highly competitive industry. That’s why writing a great job posting is crucial to finding the perfect candidate. Are your job postings causing you to miss out on the best talent? Here are 15 smart ways to write a catchy job posting and attract the best candidates.

Understand the difference between a job posting and a job description.

First things first. Distinguish between a job posting and a job description. A job posting is a public advertisement aiming to sell a job position. And so, it should paint a picture of what it’s like to work for your company. Unlike a job posting, a job description or  JD is a detailed write-up that explains the tasks and duties of a position. A JD also includes requirements for succeeding in a particular position. 

To break it down further, a JD should inform candidates about the daily roles and responsibilities, whereas a job posting should excite them about your company and encourage them to apply for your opening.

For example, “You’ll collaborate with the C-suite executives to build our marketing strategy” would be better suited for a job posting, whereas, “make five sales per week” and “meet with 10 clients per week” are phrases fit for a job description. 

How to write a good job posting. Job posting vs job description

Job posting vs job description

Ensure your job posting has a catchy opening.

If your job posting does not have a great opening, it won’t attract great candidates. LinkedIn states that candidates are looking at twice as many job postings per application than they were two years ago. What’s more, candidates deem the information at the beginning of a job posting more important and pay more attention to it. But that’s not all—they decide in about 14 seconds whether to keep reading the job description. This stands especially true for GenZ. So if you’re looking to hire GenZ in software development, you need to come up with great opening hooks for your job postings. 

In other words, you just have 14 seconds or less to catch the candidate’s attention. So you need to start your job posting with a great hook. Your introduction should be compelling enough to get candidates to continue reading.

Have a look at this example. 

How to write a good job posting. Catchy job opening

Start with a catchy job opening

In 2019, Twitter posted a job with an unusual title. The social media giant was looking for a “Tweeter in Chief.” Once you move past the title, the job is actually quite normal—Twitter wanted to hire someone to run their official Twitter account. But a title like that grabs your attention in a second, which is just what you need. 

Avoid job titles that are too experimental or too vague.

How to write a good job opening? Though it’s important to keep the title interesting, make sure you don’t overdo it. Using titles like “full-stack ninja” and “back-end guru” in your job postings may lengthen your hiring process, causing you to miss out on candidates. These titles may sound fun, but candidates are likely to search for jobs using titles like “full-stack developer” or “senior back-end engineer.” This means that job postings with titles that are too quirky won’t appear on their search engine results page.

In addition, ensure your titles are not too vague. If you want to hire a full-stack developer but write “web developer” in your posting, you may attract the wrong candidates, costing you time and money. Remember, your job title should be clear and to the point without overselling the job opening.  

Make it about the candidate and not the company.

Sure, talking about your company is important, but it’s not the most important thing for candidates. Think about it. Every candidate wants to know what the job has to offer them. So, address your candidates first. Have a conversation with them. Instead of using dry, impersonal statements like, “The ideal candidate will…,” personalize the job posting with words like “you” and “your” to address the candidates directly. 

This will make the job posting more human and encourage potential candidates to envision themselves in the job. Using invitational language like, “Come join a creative team of … dedicated to …” is also helpful.

Remember, the people reading your job posting are just that—people! So write as if you’re speaking to them. Take a look at the example below. After giving a brief introduction, GitLab shares its job responsibilities and requirements as if discussing the opportunity with the ideal candidate. This approach allows job seekers to envision themselves in the role!

How to write a good job posting. Candidate focused

Make it about the candidate

List the required skills and qualifications clearly.

Once a candidate is excited about your job opening, they need to know if they are qualified for it. Start by listing the required skills, also known as must-have skills, below the job description. These are skills, educational achievements, and experience that are critical for the job. Finish the list with your preferred or nice-to-have skills. Now, these are skills that may not be mandatory but are desired in the ideal candidate. Preferred skills might include additional education, specific certification, or familiarity using certain software or tool.

Make sure you clearly mention all the skills required for the job. Use bullet points so candidates can quickly scan and assess their eligibility.

Focus on skills and results instead of degrees and colleges.

The IT hiring trends worldwide are changing. Don’t get stuck in a limited talent pool by focusing on four-year degrees from well-known colleges. Such requirements can act as barriers for otherwise-qualified candidates. For example, a candidate with a growth mindset from a lesser-known college and only three years of experience may be a better bet than someone from an Ivy-league college with a fixed, rigid mindset and five years of experience. 

Degree-based job posting vs Skills-based job posting

Degree-based job posting vs Skills-based job posting

Focus on skill-based hiring. Be picky with your must-haves. Too many non-negotiables can discourage candidates from applying for your job. In addition, define what success looks like one or two years on the job. Mention how the candidate can grow in the role.

Highlight the top benefits that come with the job.

How to write a good job posting? Show them what’s in it for them. Candidates exploring new career opportunities need compelling reasons to choose your job opening over others. To get them excited about your job opening, list down three to four features of the job position that you believe are particularly appealing. Describe the perks, benefits, office comforts, or specialized equipment that candidates will get to use in the job posting. 

Does your company pay 100 percent of the medical benefits? Mention it. Have an amazing office with a perfect view? Mention it. Have flexible working hours? Mention it. 

This part of a job posting is critical because it enables you to provide a quick recap of the key points that would interest a candidate to apply for the open position. Check out the example below!

How to write a good job posting. Job benefits

Highlight the key benefits in your job posting

Sell your company’s culture. 

A few years ago, candidates had to sell themselves to a company by highlighting why they were the best person for the job. But recently, there’s been a massive shift. Now, candidates expect you to sell them on your company. 

If your job posting is too formal, candidates may question your company culture. They may even believe that your posting is a glimpse of their future work experience in your company. A formally written job posting might indicate an unfriendly, toxic work culture where employees are subject to stringent rules. So ensure that you write a catchy job posting that highlights your company culture in the best way possible. Share your company’s mission, vision, and values so that the candidates get an idea of what your company is all about. 

It’s equally important to have a solid online presence. If you make it through the first round of inspection by writing a good job posting, you gear up for the next round—a visit to your website and social media handles.

If your website looks like it was built back in the 1990s or your last tweet was posted in 2014, your potential candidates will move on without applying. This is especially true for remote jobs. For many candidates, these are legit remote job red flags. If you haven’t put in the resources to have a modern website or update your social handles, candidates may assume you won’t invest in their success either.

Use multimedia to make your job post engaging.

Why stick to plain old text when there’s so much more you can do with your job posting? Audio and video files can make your job postings a lot more engaging. A short message from the company CEO addressing the potential candidates can work wonders. If that’s not possible, let candidates see the office space or hear the hiring manager’s voice. Remember, the higher the sensory input, the higher the engagement. 

A video may take more time but it may be worth the effort for high-profile or high-volume positions with huge applicant pools. Talking about the job opening with more than just bullet points brings it to life and helps candidates visualize the job. So the next time you think about, ‘How to write a good job posting?’ don’t forget to include multimedia in your content.

Be transparent about the application and interview process.

It’s always a good idea to outline your application and interview process in the job posting. Be transparent about the number of interviews and assessments you expect the shortlisted candidates to take. Doing so will make the candidates feel more comfortable with the hiring process and help them decide if they want to enter the hiring pipeline. If possible, share what the reporting structure looks like and how the role fits into the organization. 

Hyperlink the job posting to the application on your company website. Be sure to clearly define the application deadline. Include a contact email and/or phone number.

Pro tip: the shorter the interview process, the more applicants you are likely to get. Several interview rounds tend to discourage candidates from applying. Several interview rounds may discourage candidates from applying for your job.

Ensure your job posting is concise and easy to read.

If we had to answer the question ‘How to write a good job posting?’ in just a sentence, we’d say – keep it short and to the point. Writing a great job posting is all about giving enough information to make it attractive but avoiding adding things that are not essential to the job. In addition, it’s about summarizing a list of extremely similar skills to avoid tedious reading.

Research shows that the ideal length of a job posting should be between 300 and 600 words in total or about one single-spaced page. Longer job postings do not mean more candidates. In fact, they tend to attract fewer candidates. Therefore, it’s important to keep your job posting concise yet interesting. This practice is important in any economy, but it’s even more critical in a tight labor market with a tech talent shortage.

Avoid jargon, acronyms, buzzwords, and slang.

It can be tempting to stuff the job posting with jargon if you’re hiring for a job you’re not familiar with. However, job postings full of complex, ambiguous, or informal language are a turn-off for potential candidates. Words like “self-motivated,” and “out-of-the-box thinker,” do nothing to explain the position or what a candidate’s day-to-day responsibilities would look like.

Clichés and slang can also carry unintended connotations. For example, “fast-paced” may indicate “too much work for too few people.” Similarly, phrases like “self-starter,” or “be your own boss,” can make candidates feel like their manager will never have time for them. Similarly, a candidate’s definition of “proactive” can vary from your own. 

What’s more, adding your company’s internal acronyms in the posting can confuse candidates. For example, “M&A” can be “mergers and acquisitions” for you, but it could mean “marketing and advertising” for your potential candidates. 

In addition, keep industry acronyms to a minimum for better readability. And don’t skip the Boolean basics. Abbreviations determine how your posting appears in a candidate’s search results. Abbreviations don’t mean your job posting won’t be searchable. However, too many of them can make it challenging for applicants to find you. 

Avoid using jargon like this in your job posting

Avoid using jargon in your job posting

Check your text for unintentional bias.

Before you decide to google, ‘How to write a good job posting?’ check your past job postings for any and every kind of bias. Most companies unknowingly make their job postings too male-oriented, millennial-skewed, or white-inclined. Your choice of words in the job posting sends signals to candidates, without you realizing it. So screen your job posting content for unconscious bias using online tools. You can use the score to identify and edit the language to ensure your posting is inclusive and unbiased. Remember, the language you use in the posting affects whether women will apply for the job. Similarly, too much feminine language in the job posting can deter men from applying.

For example, a recent LinkedIn report states that when some companies say they’re looking for candidates who are “ready to hit the ground running,” they discover that the phrase is heavily male-oriented, likely discouraging many women from applying. LinkedIn COO Dan Shapero avoids the phrase “hit the ground running” because it prioritizes speed over quality in performance. Your job postings should also avoid words that connote gender bias. Make sure to use terms like “candidate” rather than “he” or “she” and “leader” or “chairperson” rather than “chairman.”

Edit, proofread, and post.

First impressions really do matter. The last thing you want is for your potential candidates to catch a typo in your job posting. Poorly written job postings tend to put off applicants and hamper your company’s reputation. Think about it. Would you apply for a job posting looking for someone “skilled at ruining an office?” How about applying for a “fronttend developer” or “prodct manager” opening?

Neither will your potential candidates. Spelling and grammar mistakes not only discredit your company but also decrease the readability of your job posting. What’s more, these typos search ranking. Ensure to edit your job posting and have another set of eyes review your job posting before submitting it.

Ask for feedback from existing employees.

You cannot get a holistic answer to ‘How to write a good job posting’ without roping in your team. For a better analysis of your job postings, request current employees to review them. The more authentic your job posting, the better chances you have of attracting good talent. And people already working at your company are the best source of truth. They’ll know what stands true in your job posting—and what doesn’t. They can tell you if you need to dial up your tone in the job posting or turn it down a notch. 

Also, read: 5 Major Benefits of Customer Feedback for Software Development

An effective job posting can help your company stand out from the competition. But writing one can take considerable time and effort. Don’t have hours to spend on creating well-written, engaging job descriptions that attract the best tech talent? Try Turing. 

How can Turing write a good job posting for you?

Turing’s AI-powered Talent Cloud helps you source, vet, match, and engage the world’s most deeply vetted software developers remotely. It takes Turing only four days to fill most roles—sometimes it takes less than a day! The best part? With Turing, you don’t have to go through the hassle of creating effective job postings for hiring talent. Turing takes care of that for you. What’s more, Turing also ensures high-quality matches for you through these postings. 

We customize job postings for each role.

Turing prepares customized job descriptions that adhere to the unique needs of each company and job opening. Instead of using a repetitive template, we sift through a vast pool of information to pick out relevant information required for creating engaging and accurate job postings. We highlight the most important aspects of the client’s requirements and present them in an understandable manner. We also customize the job postings based on the client’s preferred locations or time zone overlap requirements.

You just need to share the basic information with us.

You don’t need to worry about writing an elaborate job summary for your posting. All you need to do is share your company website along with the tech stacks and skills required for the job, and we will take care of the rest. We clearly mention the must-haves, nice-to-haves, and other minimum requirements in the job posting. For example, if you want a software developer with at least three years of software development experience, fluency in English communication, and proactiveness, you will get just that. We find developers who share the same interests as the clients and help connect them.

What’s next?

Once we create content for your job posting, we publish it on platforms to ensure maximum, high-quality exposure. 

Where does Turing publish these jobs?

  • Turing.com—All our job postings go up on the Turing Live Jobs dashboard which is accessible to thousands of developers.
  • Third-party platforms including IndeedIndia, Jooble, and IndeedBrazil—Our job descriptions are posted on other third-party platforms to help clients reach out to a broader pool of potential candidates who have been vetted and trained with Turing’s guidance.

What is the frequency of these job postings?

Our job posting frequency depends on the number of job openings companies share with us on a given day. On average, Turing publishes seven to 25 job postings in a day.

How long do these job posts remain active?

These job posts stay active for at least 30 days. 

How does Turing process the job applicants?

Turing filters the best developers for you. You don’t have to sort through hundreds of unqualified job applications for your job opening. Turing’s AI-powered Talent Cloud deeply vets applicants, and our experts only send selected, responsible, high-performing developers your way. Thus, Turing reduces the time and effort that goes into evaluating individual talent.

Summary: how to write a good job posting?

Writing a good job posting may not always guarantee a fast and efficient hiring process. But it’s definitely a big step in that direction. Jobs keep evolving, so how you market them should evolve, too. Ideally, you should evaluate and edit your job marketing strategy every time you publish a new job posting. If that’s not possible, revise it every six months.

If you’re looking to hire remote software developers, try Turing. We can help you hire skilled, pre-vetted developers at unbeatable prices in just four days. Visit the Hire Developers page for more information.

Tell us the skills you need and we'll find the best developer for you in days, not weeks.

Hire Developers

By Jan 17, 2023
7 Common Product Strategy Mistakes and Ways to Avoid Them
Custom Engineering

Common Product Strategy Mistakes and Ways to Avoid Them

Product strategy mistakes: 1. Planning for too long 2. Not keeping up with change 3. Obsessing over details instead of value 4. Not conducting enough tests

Every successful product is a robust, well-planned product strategy driven by an efficient product team. 

In this blog post, we will cover: 

What is product strategy?

A product strategy is a high-level plan explaining what a business wants to accomplish through its product and how it plans on doing so. The strategy also answers questions like who the product will serve, i.e., personas, how the product will benefit those personas, and the company’s overall goals for the product through its life cycle. 

In other words, product strategy answers the eternal question, “How do I get someone to buy what I am selling?”. A great product strategy can help you develop a great product. But what makes a great product strategy? Keep reading to find out. 

Related Post: The Nine Steps of Software Product Development Lifecycle

What are the key components of a product strategy?

Product strategy is a combination of seven key components. They are as follows:

  1. Product vision

    Product vision is the long-term mission of your product. This mission is typically a concise, aspirational statement that shares what the company wants the product to achieve. Therefore, a product vision must remain static. To build and release a great product, you need a strong product vision. A good vision encompasses who your customers are, what they need, and your go-to-market plan. In addition, it highlights the opportunities and threats in your way.
  2. Product goals

    A product vision should ideally lead to strategic product goals with measurable results that you can achieve within specific timeframes. These goals will determine what the team prioritizes on the product roadmap. Your product goals should be trackable, so you know how your team performs against them. You can use the SMART approach when setting goals for your product strategy. This approach helps you set specific, measurable, attainable, relevant, and time-bound goals.

    Here are a few examples of product goals:

    • Increase free-trial downloads by 50 percent in the next six months
    • Improve average customer rating by one star on major product-review sites
    • Generate $5M in revenue within 12 months
    • Expand business to three new countries within 24 months
  3. Initiatives

    Initiatives are critical, complex objectives you must break down into actionable tasks. Initiatives enable you to identify key tasks you must complete to achieve your product’s goals. Think of initiatives as projects that you should accomplish within a fixed timeframe. In other words, initiatives are strategic themes you derive from your product goals and add to your roadmap. Remember, your product initiatives should always align with your company’s strategy.

    Examples of product initiatives include:

    • Improve customer satisfaction
    • Increase lifetime customer value
    • Enhance UI
    • Reduce churn rate 
    • Sustain product features
    • Prioritize language localization
  4. Customers

    The foundation of every product strategy is customers. Your product is designed to satisfy them. And without customers, your product may be rendered useless.

    So be sure to create different customer profiles for different products while building product strategy. To create a customer profile, you must gather all the data of customers who purchased similar products and the channels they frequently visit.

    Leave out no details when defining your target customers. Dig deep and acquire as many insights as possible. Collecting these insights under a single customer profile enables you to clearly understand who you’re selling to. By creating in-depth customer profiles, you can build products that meet their needs and use marketing channels that increase your chances of sales.
  5. Competitors

    Now that you’ve identified your customers, it’s time to look at the competitors targeting them. You may have direct competitors (for example, Coke and Pepsi) or indirect competitors (for example, Airbnb and Hilton) for your product. You must identify these competitors and analyze their strengths and weaknesses. Try to understand their product strategy as best as your can. Examine their product positioning, packaging, market share, etc.

    By conducting a detailed analysis of your competitor’s products, you can create a product strategy that leverages market opportunities your competitor could not capitalize on.
  6. Business goal

    Every business has a fundamental goal: earn profit. Naturally, your company’s shareholders expect you to earn profit and provide a return on investment. The higher, the better. So your product strategy must align with the business goal of shareholders and top management executives. Simply put, your strategy should ensure that the product you’re developing will get them a return on investment.

    You must also think about how the customers will consume the product. Is it only a one-time purchase? Or will consumers want to buy it repeatedly? Or is it something you subscribe to? Basically, your product strategy must explain how you will sell the product and how customers will consume it.
  7. Macro environment

    Macro environment refers to the current state of economics, politics, culture, and technology that affects customers’ buying and selling habits. Therefore, product managers must carefully analyze the macro environment before creating a product strategy.

    By analyzing buying and selling trends, you can take advantage of existing opportunities and extend the product life cycle. Your product strategy should account for the following factors:
    • Emerging markets where your product may have demand
    • Emerging technologies that may impact your customers
    • Economic forces that may impact your customers’ budgets or needs
    • Evolving customer needs and behaviors

Common product strategy mistakes

7 Common Product Strategy Mistakes to Avoid

7 Common Product Strategy Mistakes to Avoid

Now that we’ve covered the crucial components of product strategy, let’s take a look at the most common product strategy mistakes companies. 

  1. Planning for too long and not keeping up with change

    One of the most common yet grave mistakes companies make is planning for too long before implementing a product strategy. Sure, planning is a critical part of product development. Diving into development prematurely, before defining the product, is a serious product strategy pitfall. But if you take too long to get started, your idea may never turn into a product. Furthermore, the market conditions may have already changed till you implement your strategy.

    Similarly, if you view the product strategy as a one-time, static plan instead of a constantly evolving one, you will be left scrambling to keep up with trends. Not keeping the product strategy up-to-date can cost you significantly.

    Related Post: 7 Best Software Development Lifecycle Management Methods

    Ways to avoid this mistake

    Waiting for the ‘right time’ may not always be the best idea for your product. The longer you sit with your idea, the more difficult it becomes to define a functional framework and make a compelling business case. Rapid prototyping, releasing a decent minimum viable product, and building and iterating off of your learnings are great ways to ensure your product moves out of the development phase.

    Don’t view your product strategy as a fixed plan that needs one-time execution. You must tweak and adapt the strategy as the product grows and markets evolve. Review it once every three months to ensure the strategy says relevant. You must constantly upgrade your product with the changing market conditions. Adopting a work-as-you-go approach allows you to change your strategy with changing market conditions and create a solid product.
  2. Obsessing over innovation instead of value

    As a product leader or manager, you will want your product to deliver high functionality. But don’t let that hyperfocus on functionality come at a high price. While you’re obsessing over building a seamless product, your user is looking at its benefits. They’re thinking about how the product will help them.

    And so your product must offer a clear value to that market. It must solve a problem. Just because you can include certain features in your product doesn’t mean you should.

    Related Post: 7 Ways Managers Can Boost Remote Workers’ Productivity

    Ways to avoid this mistake

    Don’t let your drive for innovation overshadow your value proposition. Observe, analyze, and understand the target market first. What do your customers want? Work toward creating that value at every step of the product development process. Everything you do should enhance the value of the product. If it’s not adding value, don’t do it. When you drive decisions through this value-added framework, your product succeeds, and end users benefit.

    Remember, it’s not about what you want customers to have. It’s about what customers want.
  3. Not prioritizing must-haves and nice-to-haves

    Here’s the thing: you cannot implement every feature on the roadmap in the initial version of your product. To get to the market quickly, you must prioritize your features. The vital features of your product — the ones that you must implement before it goes to market — must be built out first.

    But this is easier said than done. Product teams are often confused over which features are must-haves and which are nice-to-haves.

    Related Post: 25 Habits to Become An Effective Manager

    Ways to avoid this mistake

    Build a classification system for prioritizing features. Coordinate with your project team to determine which features are critical to include versus features your product can succeed without.

    As product requirements become clearer, prioritize releasing a minimum viable product (MVP) and building and iterating based on your learnings. A core benefit of developing an MVP is that it enables you to test your business concepts. This ensures your project doesn’t get stuck in development.

    Ensure you release an MVP that has enough value for early users, demonstrates future benefits, and contains a feedback loop for future development. This process lets you understand what users want and improve the next version of your product based on real data.
  4. Creating product requirements in a vacuum

    One of the most common product strategy mistakes is crafting requirements in a vacuum. When building a product strategy, gathering the right input from everyone involved is critical. By not involving necessary people in product development, product managers miss out on new perspectives and opinions vital for creating good products. They also overlook the needs of certain stakeholders.

    Moreover, if the team does not have an expert for each product function, managers are forced to rely on a few individuals to bring expertise in all the areas relevant to product strategy.

    Related Post: 6 Tips to Scale A Design Team: A Guide for Product Managers

    Ways to avoid this mistake

    Thankfully, this mistake is easy to fix. Take an integrated approach to product strategy by involving product owners, UI/UX designers, developers, engineers, and architects, in the product strategy.

    By keeping the team diverse, you can get valuable input and cover all bases to help you create a successful product. Embracing an inclusive process at this stage ensures that you consider user experience from all angles before your product launch.

    Related Post: 6 Challenges to Remote Hiring and How to Overcome Them
  5. Ignoring competitive threats

    Some companies want to build a product simply because their competitor has one, whereas some are completely unaware of what the competition is doing. Both approaches can lead to severe consequences. Not monitoring competition and emerging trends can be a grave mistake while building a product strategy.

    Your competitors may launch products that rival your own with features that are a little too similar. Keep a close watch on such developments.

    Ways to avoid this mistake

    Have a clear understanding of your product’s positioning and place in your niche. Ensure you know who your key competitors are. With the right competitive research, you can define your product’s unique value proposition and optimize user lifetime value over time. Think of how you can differentiate your product in the market. Just because your competitor does something doesn’t mean you should.

    Ask yourself these questions:
    • What makes your product different?
    • Why do customers want your product?
    • What problems does your product solve?
    • How does your product help you meet your company’s goals?

      Failing to address these questions can make your product redundant or irrelevant. Therefore, conduct a thorough competitor analysis to set your product apart.
  6. Choosing the wrong technology

    If you choose the wrong tech stack for your product, chances are that you will have to build your product again. Choosing the wrong technology for your product can cost you money, time, and resources.

    For example, you create a product for a small user base. However, when the product enters the market, the user base increases. If the tech stack does not support the growing user base, the product is likely to fail.

    Ways to avoid this mistake

    Ensure the technology you choose is suitable for your project and your business needs. Consider what you want to achieve and how the technology corresponds to your business objectives.

    Ascertain that the technology you want to use is showing an upward trend because technologies with a downward trend may hamper the development process and the maintenance of your product.

    While building a digital product, you must research different tech stacks suitable and choose the one that meets all your existing and future requirements. Key factors in choosing the right tech stack include product functions, system load requirements, scalability, and security, among others.
  7. Experimenting with the budget excessively

    Going overboard with the budget is a common but often ignored product strategy mistake. Businesses require stability to grow consistently. Therefore, constantly experimenting with the budget may not be a good idea. After working on a strong go-to-market product strategy, product managers must ensure they utilize the budget efficiently.

    Ways to avoid this mistake

    Use your budget for hiring the right resources and decide how many beta versions of the product you can afford to make and release.

    Calculate the cost of incorporating different functions for your product and the current market rate of professionals with different skills. After that, you can decide the upper and lower limit of how much you can spare for different resources without spending more than the allocated budget. 

Summary 

While a solid product strategy does not guarantee market success, it eases the process of getting there. By avoiding common product strategy mistakes, you can create robust products that are ready for the market. 

Are you struggling with product strategy? Try Turing. Turing specializes in delivering end-to-end product development services to aid businesses achieve operational excellence. Visit the page to know more!

FAQs

What are the three types of product strategies?

The three types of product strategies include comparative positioning strategy, differentiation, and segmentation. In the comparative positioning strategy, brands place their products right next to the competitor products to show better pricing. Differentiation strategy highlights the differences in the product when compared to another brand, whereas segmentation diversifies product packaging into different forms like small packets, bottles, and cans. 

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By , Jan 2, 2023
Best Alternative to IT Service Firms for Hiring Software Development Teams
For Employers

Finding the Best Alternative to IT Service Firms for Hiring Software Development Teams

Talent Cloud is the best alternative to IT service firms for hiring software development teams because 1. It provides access to global talent 2. It saves time on sourcing and onboarding candidates

Today, every company is a software company, whether they recognize it or not. As a result, the tech hiring market is becoming increasingly competitive. But traditional recruiting partners like IT service providers weren’t built for a software-first world. This challenge has led companies worldwide to seek a cutting-edge alternative to IT service firms.

Tech Hiring: Current Scenario

Finding, hiring, and retaining the right tech talent is tricky. Take a look at these stats: 

  • Software development will be the most important tech job in the future. The Bureau of Labor Statistics recently revealed that there will be 1.2 million unfulfilled software engineering positions in the U.S. by 2026.
  • Hiring technical employees takes 50 percent longer than other positions, taking around 66 days to find the right software professional for a job.
  • Yet another report highlighted that software developer openings will grow by 25 percent from 2021 to 2031—much faster than the average for all occupations. 

As a result of this growing demand for tech talent, many organizations struggle to hire developers, leaving critical tech jobs unfilled. 

Three engagement models for hiring software development teams

Today, the market has three main engagement models for hiring software developers. Let’s look at them one by one.

Alternative to IT Service Firms (3)

Three engagement models for hiring software development teams

IT service firms

Located in regions like India, Eastern Europe, China, and South America, these offshore giants employ thousands of developers. Naturally, these providers cater to mostly enterprise-level projects owned by large corporate clients with massive budgets. But if you’re planning to build a team through an IT service provider, there are some clear benefits and limitations you should consider. 

Benefits of IT service firms

  1. Cost-effective for large projects

    IT service firms help large-sized businesses cut down their operational costs, including those associated with buying new hardware, training IT staff, and paying the salaries of in-house IT professionals. 
  2. Data compliance support

    Businesses today must meet strict data privacy regulations to protect their customers (and their privacy) from ever-present cybercrime concerns. Hiring developers from an IT service provider allows companies to transfer this responsibility to industry experts who take care of data compliance for them.  

Limitations of IT service firms

  1. High cost for small to mid-sized projects

    Make no mistake, hiring from a reputed IT service firm is rather expensive. These providers charge upfront fees and a few hundred dollars every month, depending on the size of your business and technical needs. Though they charge reasonable hourly rates for large projects, you might want to consider other options if your company employs less than 1,000 people.
  2. Consistent brain drain

    Remote work is growing. A 2022 study by McKinsey & Company revealed that when people have the option to work flexibly, 87 percent take it.

    Related Post: Reasons Your Software Team Should Switch to Remote Work in 2024

    Given that the most capable people can now choose to work wherever they want, from wherever in the world they choose to live, the traditional IT services industry is struggling to attract top talent and dealing with an unrelenting brain drain.
  3. Shallow vetting and a limited talent pool

    Quite often, when IT services finally find talent, the candidates may not be right for your job. This challenge stems from the inflexibility of the IT services model. These companies find local talent from cities like Bangalore or Shanghai but, unfortunately, cannot leverage the global remote talent pool.

    In other words, the service will often force-fit your needs to their talent. A poor developer is worse than no developer, and you might waste even more time trying to undo their mistakes.
  4. Loss of IP ownership and control

    With IT service firms, you rarely have complete control of your intellectual property. And though most businesses are aware of this, lack of full IP ownership is a significant limitation of IT service companies.

These were some of the most significant limitations of IT service companies. While many businesses still rely on IT services to meet their hiring needs, there’s a trust factor that limits how invested you’re willing to be when facing mismatched talent and concessions on control. And thus, some have turned to alternatives to IT service firms.

Recruitment firms and talent marketplaces 

This segment is arguably the most crowded one in the market today. Today, the tech market is composed of numerous recruitment firms and online talent marketplaces with developers specializing in different technologies. Most of these providers are in the scrappy startup stage. Understandably, only some of these platforms are established market players with excellent quality standards. 

Let’s examine the benefits and limitations of recruitment firms and talent marketplaces.

Benefits of recruitment firms and talent marketplaces

  1. Cost-effective

    Since these firms and marketplaces usually have variable standards for quality, they can help you find developers at a lower price. This alternative to IT service firms can be cost-effective without promising talent quality.
  2. Developers open to short-term commitments

    Most developers on these platforms work on multiple jobs simultaneously and are usually more open to short-term projects. Online talent marketplaces are a good option for you if you’re looking to hire talent for the short term.

Limitations of recruitment firms and talent marketplaces

  1. Low reliability and continuity

    Most of these firms are in the scrappy startup phase, so their internal processes still need refinement. Despite their growing talent pool, these firms may not yet be capable of handling huge workloads. Additionally, gig-oriented marketplaces may not provide companies with the continuity required for building complex products. As a result, reliability is a big issue with these platforms.
  2. Hit-or-miss quality

    In our conversations with developers, we found that highly skilled developers strongly prefer long-term engagements over gig work. Therefore, marketplaces attract more “nights-and-weekends” hobbyist developers. So you either get a skilled developer by chance—or you don’t.

    Related Post: What is Software Quality Assurance and Why Is It Important?
  3. Time-consuming

    Finding the right match through a recruitment firm or online talent marketplace takes a lot of time. One of the key challenges we hear from engineering leaders is that they need to interview up to 30 developers to hire one with many marketplaces. 

All things considered, the limitations of recruitment firms and online talent marketplaces outweigh the benefits. As a result, many companies are considering the third engagement model for hiring software development teams – the Talent Cloud. 

Talent Cloud

A Talent Cloud is a relatively new solution in the industry. Talent Clouds use software to automatically source, vet, and manage talent worldwide, providing many benefits over traditional talent acquisition services or platforms. Due to its range of benefits, the Talent Cloud is quickly becoming the preferred alternative to IT service firms and marketplaces for hiring software development teams.

Benefits of a Talent Cloud

  1. Access to a global pool of talent

    Instead of attaching people in specific locations to specific jobs and force-fitting your organization’s needs to whatever talent is available, the Talent Cloud uses an AI-driven ranking and matching algorithm that connects developers worldwide with the most suitable opportunities for their skill set.

    Related Post: 5 Ways Companies Can Hire the Best International Talent
  2. Rigorously vetted high-quality developers

    Given the volume of available global talent, Talent Cloud’s vetting processes tend to be more rigorous than other service providers. For example, Turing’s Talent Cloud vetting process utilizes over 20,000 Machine Learning (ML) data signals to analyze candidates’ tech and soft skills to find the best organizational fit.

    Related Post: Here’s How Turing Leverages AI for Matching and Evaluating Developers

    These vetting engines can assess developers’ computer science expertise and knowledge of specific technical skills, including machine learning, infrastructure, and cloud computing. Last but not least, they leverage information on soft skills such as communication, language fluency, and collaboration for deeper candidate assessment.
  3. Saves time on sourcing and onboarding candidates

    The demand for engineering talent is at an all-time high. Last year, researchers from LinkedIn’s Economic Graph team analyzed the profiles of 400,000 hires across 15 industries on the platform from June 2020 to March 2021. The results revealed that engineering topped the most hard-to-fill tech jobs list with the most extended wait.

    Talent Clouds are a highly preferred alternative to IT service firms because they operate on significantly shorter timelines and can quickly scale from staff augmentation to dedicated development teams. For Turing Teams, it takes an average of two weeks to build and deploy a dedicated team to your organization—including delivery and program management, tech leads, and developers.

    This singular focus eliminates the time usually spent on sourcing, vetting, and onboarding people for your projects, giving you more hours to manage and grow other parts of your organization while your Turing Team operates indistinguishably from the rest of your company.

    Related Post: 10 Tips to Onboard Remote Software Developers
  4. A hands-off solution to complex, hands-on problems

    A critical limitation of IT services companies is their inability to provide customized solutions. In contrast, Talent Clouds offer highly customized solutions.

    For example, Turing Teams works closely with your organization to understand your problems and develop a clear roadmap, execution plan, and development strategy to help you reach your desired outcomes. Once a clear strategy is in place, Turing will specify the necessary products and services, dependencies, integrations, data models, and hosting infrastructure you will need to succeed. Turing will then provide specialized, on-demand engineering teams for your project. In other words, Turing Teams provides 360° support for all your needs.

Limitations of a Talent Cloud

  1. Vetting processes differ, and so does the quality of talent.

    There are currently only a handful of providers in the Talent Cloud space, and each provider approaches its vetting and sourcing process differently. Thus, the quality of their talent pools can vary significantly.
  2. Lack of support for short-term projects

    While it varies from provider to provider, Talent Cloud services work with companies looking for long-term engagements to provide better career opportunities for their developers and better overall client experiences.

Overview: IT Service Firms vs. Recruitment Firms and Talent Marketplaces vs. Talent Cloud

Alternative to IT Service Firms (2)

IT Service Firms vs. Recruitment Firms and Talent Marketplaces vs. Talent Cloud

To sum up

Your preferred model of hiring software developers depends on your timeline, budget, and the quality of developers you are willing to work with. When considering speed, quality of vetting, access to a large pool of global talent, and hands-off solutions, the Talent Cloud is a better alternative to IT service firms, recruitment firms, and talent marketplaces.

Learn more about hiring dedicated software development teams to deliver on complex projects with Turing.

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By Dec 20, 2022
Turing Review How Much Do Developers Earn with Turing
Turing Community

Turing Review: How Much Do Developers Earn with Turing?

Remote software developers from across the world answer much-debated questions: What are Turing salaries like? How much do Turing jobs pay? Updated for 2024.

Talent is universal, but opportunity is not. For this reason, Turing aims to democratize career opportunities for exceptional software developers. The organization’s intelligent talent cloud provides long-term, remote, Silicon Valley-caliber jobs to engineers across the globe. Though this blog post does not reveal actual Turing salaries, it summarizes the developers’ opinions on their overall income levels after joining the organization.

Turing is devoted to helping engineers find great jobs with leading firms. The organization recently earned a coveted spot on Forbes’ List of America’s Best Startup Employers for two consecutive years i.e., in 2021 and 2022. In addition, in a recent survey conducted by the company, an astounding 100 percent of the surveyed developers shared that Turing is “much better” (82%) or “better” (18%) than other remote work platforms. 

Turing.com Salary: Remote Developer Jobs Survey

Turing Developer Survey: An astounding 100 percent of the surveyed developers revealed that Turing is better than other remote work platforms.

But let’s head over to the main question.

How much do Turing jobs pay?

While money is not the only factor motivating employees to do their best, it’s certainly a primary consideration. A recent study quotes “unsatisfactory salary” as the most significant factor responsible for employees quitting. It is evident that even if employees enjoy their work, they have no qualms about moving to a different organization if a competitive salary isn’t part of the picture. To get the skinny, we reached out to some of Turing’s developers to learn ‘How much do Turing developers earn?’

A Turing salary is higher than the market average in most countries

In a recent study, 87 percent of employers said their company is experiencing skill gaps. Ninety-five percent said it’s difficult to recruit skilled professionals. The message is clear: There is only so much top-tier talent out there. If organizations want to attract the best people, they need to compensate them well. Employers that do not offer competitive pay put themselves out of the race when hiring great talent.

Turing recruits the best minds in the field. And the best talent, deserves the best pay.

Here’s what Dhey, a software engineer from India, had to say on Turing’s pay policy: “I was working at Amazon for two years. But with Turing, I feel like I have the best of both worlds—I work in Silicon Valley from my home, with amazing pay, and incredible growth opportunities.”

Another developer from Brazil, Emerson, says: “My salary is at least 70 percent higher than the market average in my country, and I am just 25 years old! I am also very happy with the appraisal system here. If you’re good at what you do, you will get rewarded! My job pays me well and allows me continuously upskill and learn more in my free time. Most importantly, my work is being recognized by a top US company. This never happened in my earlier 9-5 desk job.”

Alexey, a web developer from Russia, revealed: “I have over 13 years of experience in web development. However, the remote projects in Moscow were not up to my liking. That’s when I found out about Turing. I fell in love with the vibe of this organization. My earnings have doubled since I joined Turing, and my career is growing very fast.”

Yet another developer from Nigeria, Aliyu, shared: “[Because of Turing] I have a much higher income and a stable job with a US-based company. Here, there’s more respect, more freedom, more salary—basically more of everything! It’s hard to think about how many talented developers spend hours applying for mediocre jobs when they can apply to such amazing jobs at Turing.” 

Turing developers have high productivity and retention rates 

Low salaries lead to high turnover, costing companies vast amounts of money. But that’s not all. Low wages often result in low productivity. Poorly remunerated employees are less invested in their jobs. While employees receiving higher salaries, know that the organization values them. Better pay also incentivizes a culture of high output. 

High productivity and retention rates are a reflection of a solid team. Therefore, Turing offers competitive salaries to ensure that its employees are well-compensated, motivating them to go above and beyond. 

A Colombia-based developer, Juan, shared: “I am definitely not going back to freelancing again! [Turing] pays developers what they’re worth. When I was freelancing, I got low rates, and I had to work with super demanding customers. I often did the work of both—the designer and the developer, for the price of one! Sure, I was working hard but was unable to make good money. I’ve been a part of Turing for 14 months now. They promised me a steady income, timely payments, and opportunities to work on interesting projects when I joined. I’m happy to say the company has delivered on all its promises! It sounds too good to be true, but it’s not!”

Juan, a full-stack developer from Argentina, added: “I remember googling ‘Turing software engineer salary’ on multiple occasions before joining this organization. I was not sure what to expect. But now, I’m pretty sure that I’ll be staying with this organization for a long time. I earn twice as much compared to my last job and work on projects that challenge me and broaden my skill set. So far, it’s been a great ride!”

Turing jobs aim to promote employee well-being

A low salary often leads to stress impacting both health and work. And thus, Turing is dedicated to helping employees accomplish their professional and personal aspirations through a healthy compensation and work schedule. 

Manaf, a front-end developer from Jordan, said: “Apart from work, I spend most of the time with my family. I am happier to say that I now live a happier and healthier life. I am also doing well financially because my job provides me with higher compensation. I save a lot of money as I work from home!”

James, from Kenya, shared: “My experience with Turing remote jobs has been phenomenal for me. I start my day by hitting the gym. Then, I manage my chores and watch my favorite movies. I feel more productive and creative with the kind of flexibility Turing has.”

Turing.com Salary Review: How Much Do Turing Jobs Pay?

Turing Salary Review: Peter on ‘How Much Do Turing Jobs Pay?’

Peter, a full-stack developer from Nigeria, added: “I used to be a teacher five years ago. But now I’m doing what I love—building software! I have also started feeling more confident [about my career] and seeing rapid growth in it. My income is exceptional compared to local salaries. I bought my own dream house within eight months of joining. I have accomplished all things that I couldn’t three years ago.”

A full-stack engineer from Columbia, Sergio, noted: “This remote software developer job has changed my life completely. I am [way more] productive now. Earning in dollars has strengthened my financial health. Moreover, Turing has fulfilled my dream of being a digital nomad. Next week, I’ll be working from a different country.”

Frequently, the best talent gets poached by hiring managers and head-hunters. However, a well-compensated culture encourages employees to commit to their jobs for the long haul. Turing believes that the true strength of an organization lies with its people—and great talent should always be well-rewarded. 

Related Post – Turing.com: Reviews From Around The World – 2022 Edition 

So, how much do Turing developers earn every year?

The answer is simple. Turing developers earn competitive salaries that surpass the market average in most countries. 

The organization sees its developers and employees as valuable, appreciating assets. So rather than limiting the profits to executives and investors, Turing shares the company’s success with people who add value to the organization—the employees. In addition, it aims to push a culture of equity, one employee at a time. 

If you’re a brilliant developer looking for remote software jobs in any of these skills, Turing may be able to help you very quickly. Head over to our Jobs page to know more!

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By Sep 8, 2021
Andrew Ng on AI adoption and artificial intelligence stocks
For Employers

Co-founder of Coursera talks about the importance of investing in Artificial Intelligence

Andrew Ng shares why tech and big data companies should transform their business operations through AI and invest in artificial intelligence stocks. He also talks about the rise of artificial intelligence jobs.

AI adoption has gained traction in the past few years, disrupting almost every industry. But implementing AI-based applications can be challenging. AI pioneer, Founder of the Google Brain Team and Landing AI, Former Chief Scientist at Baidu, and Co-founder of Coursera, Andrew Ng, recently shared how companies can adopt AI to transform their operations. 

Here are the key takeaways:

Brainstorm projects and start small 

Ng recommends companies start by brainstorming a list of at least half a dozen projects that can use AI rather than diving into just one. Next, he suggests a review of all the possible projects from a technical and business diligence perspective. After a few weeks of analysis, Ng says leaders can pick one or two worthwhile projects and commit to them. The AI pioneer recommends leaders start with small six-to-12 month goals instead of trying to accomplish an expansive vision. 

Ng also recommends starting with a small team and then building it up gradually: “Start with a machine learning team of around five people. That teaches you the early lessons you need to build a bigger team.”

Shift your mindset from big data to good data

The Coursera co-founder says companies need to shift their focus from big data to good data. “If you have a million images, go ahead, use them. But there are lots of problems that can use much smaller data sets that are clearly labelled and carefully curated,” he explains. 

Ng adds: “When you have millions or a billion users, you can have that noisy data and just average it—the learning algorithm will do fine. But if you are in a setting where you have a smaller data set—say, a hundred examples—then this type of noisy data has a huge impact on performance.”

Don’t wait for your data to be clean and perfect

Ng explains that engineering leaders waste a lot of time waiting for their data to be pristine. CEOs and CIOs often complain that their data’s a mess at the moment and that they’d build a great IT infrastructure in the next two years. To that, Ng says: “That’s a mistake. [Organizations] shouldn’t do that.”

The AI scientist points out that no company—not even the tech giants—have immaculate data. But that’s okay. “Spending two or three years to build a beautiful data infrastructure means that you lack feedback from the AI team to help prioritize what IT infrastructure to build. It is about starting an AI project with the data you already have that enables an AI team to give you the feedback to help prioritize what additional data to collect,” he adds.

AI isn’t just for the tech giants; startups can leverage AI too

Ng remarks that large corporations usually get all the media attention when it comes to AI. However, there is a lot of space for smaller organizations in the industry. 

“I’ll just mention a couple of gaps that I find exciting,” he continues, “Today, building AI systems is still very manual. You have a few brilliant ML engineers and data scientists who do things on a computer and then push things to production. There are a lot of manual steps in the process. So I’m excited about ML ops as an emerging discipline to help make the process of building and deploying AI systems more systematic.” 

He further adds that there is a lot of room for automation in day-to-day business problems—from marketing to human resources. 

Start making investments in AI 

Ng suggests that the next wave of AI will transform industries. It will disrupt everything—from manufacturing, agriculture, and transportation to healthcare, according to Ng. Consequently, he says, now is a good time for CEOs and CXOs to think about how AI will affect their industry when it becomes pervasive.

“AI is causing a shift in the dynamics of many industries. So if your company isn’t already making pretty aggressive and smart investments, this is a good time,” suggests the AI pioneer. 

Embrace AI, but ensure that your business is people-led

The AI scientist says that ‘AI is automation on steroids.’ Going AI-first might be great for a research lab but not for the business—businesses should not be AI-led. “If I go to a team and say, “Hey, everyone, please be AI-first,” it tends to focus the team on technology. In terms of how I execute the business, I tend to be customer-led or mission-led, almost never technology-led,” he adds. 

Artificial Intelligence is altering businesses at a rapid pace and will soon become ubiquitous. Most experts agree AI has the potential to drive tremendous economic growth. The technologies that enable AI, like development platforms, processing power, and data storage, are becoming affordable. As these technologies continue to mature, companies that have yet to adopt AI will feel the pressure to do so to stay competitive. As Ng says, the time is indeed right for companies to capitalize on this highly disruptive phenomenon.

Read the complete article.

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By Sep 2, 2021
Want To Become a Great Engineering Manager_ Here’s How Googlers Do It!
For Employers

Want To Become a Great Engineering Manager? Here’s How Googlers Do It!

Google’s Project Oxygen shared five traits intrinsic to engineering management: decision-making, team collaboration, great technical skills, result-orientedness, etc.

A few years ago, Google came up with a hypothesis that managers add nothing but an extra layer of bureaucracy to its system. The organization tried to prove the same with Project Oxygen. Quite contrary to the expectations, the analysis revealed that managers were intrinsic to Google’s success. 

Based on these findings, the tech giant identified five essential characteristics that make up for a great manager:

They are good at coaching and decision making

The command and control style of leadership is no longer effective. The most efficient managers act and think like coaches. They don’t solve problems on the spot but use them as examples to enhance their team’s problem-solving skills. Good managers know that they’re facilitators and not problem-fixers. They consistently share their knowledge with the team members so they can grow professionally and develop leadership skills. 

The absence of solid decision-making can paralyze an organization. And thus, great managers are excellent at making decisions and executing plans. They weigh their options carefully, but once they come to a decision, they stand behind it diligently.

Don’t micromanage. Do create an inclusive environment

Great managers do not micromanage employees but empower them to take control of their projects. Such empowerment gives employees the freedom to explore and learn from their experiences. Research shows that empowered employees have higher job satisfaction than others. Moreover, managers who empower others are seen as more influential and inspiring by their subordinates.

All employees want to feel a part of the broader team mission. And thus, high-performing managers strive to create an inclusive environment where anyone can ask a question, experiment, and propose a new idea. Such managers promote team cohesion through empathy, and they exhibit genuine concern for their team members. They are actively engaged in their employees’ success and happiness at work

The best managers are good at communication and collaboration

Effective communication is intrinsic to high-performance management. Often, managers lose sight of this and fall prey to a top-down approach. Great managers don’t just give directives; they communicate performance expectations to employees with utmost clarity. This way, every team member knows their roles and goals in the organization. Beyond this, great managers listen to their team, accept feedback, and implement it wherever possible. 

In a remote business world, collaboration skills are a top priority. Lack of collaboration can hamper a team’s productivity. Great managers know that their team is not an independent unit, and thus, they always find ways to collaborate across teams to enhance the overall output. 

They are productive, results-oriented, and have a clear vision

Great managers make productivity a priority—they are efficient delegators and contributors. They consistently measure results and keep the processes to a minimum by equipping employees with productivity-enhancing tools.

Efficient managers have a clear vision for the organization. They have clarity on the goals and objectives required to get there. Most importantly, such managers include employees in the strategy and vision-building process instead of imposing it on them. As a result, these team leaders foster commitment instead of compliance and lead the team towards a shared vision of success. 

The best managers have critical technical skills and promote career development

Managers increase their credibility when they practice what they preach. As a result, Google believes that great managers have expertise in the same technical skills their employees must possess. This way, they can guide them through tasks and remove roadblocks. 

Lastly, the best managers care about their employees’ careers and growth as much as they care about their own. They provide consistent, constructive feedback to their team members to help them achieve personal and organizational goals. They contribute in ways that help employees thrive in the organization.

Great managers bring out the best in their team members. But being a great manager is so much more than just managing and delegating tasks—it’s a continuous learning process. It is about mobilizing employees, identifying and developing their skills, and channeling them to meet organizational goals.  Most importantly, becoming a great manager is about becoming a great leader and driving other employees towards excellence.

Are you struggling to hire skilled and experienced remote software engineers who are adept in technical and soft skills? Turing can help. Turing’s automated platform lets companies “push a button” to hire senior, pre-vetted remote software developers. Access a talent pool of the top 1% of 700K+ developers with strong technical and communication skills who work in your time zone. There’s no risk. Turing offers a free two-week trial period to ensure your developers deliver to your standards.

For more information, visit Turing’s Hire page.

Source: Business Insider

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By Aug 26, 2021
Show Your Employees You Care About Their Mental Health With These Strategies
For Employers

Show Your Employees You Care About Their Mental Health With These Strategies

Employers can help workers tackle burnout and workplace stress by following these simple strategies for sound mental health care.

Does your organization care about its employees’ mental health? Does it take measures to improve it? If yes, do your people know? Research suggests that many employees feel their employers do not empathize with their mental health. A Forbes study, for instance,  revealed that 82 percent of American tech employees felt burnout while working remotely. Eighty percent of workers said they would consider quitting their current position for a job that prioritized employees’ mental health. Another study by Oxford’s Saïd Business School found that happy employees are more productive. 

In this article, we’ll look at why employees feel neglected, what’s happening as a result, and how organizations can buck the burnout trend:

Frequent dialogue helps alleviate feelings of isolation

Remote workers report loneliness as their biggest challenge. Research shows that loneliness can drive employee burnout and turnover. Organizations should encourage casual dialogue between employees as it helps tackle the feeling of isolation associated with remote work. Managers should focus on building a culture of connection through regular check-ins. Virtual coffee breaks and “watercooler” channels can help in promoting break-time chatter and collaboration. Virtual lunch hours, where employees log-in and have their meals together, could also be an excellent way to improve social connections. Similarly, using communication platforms to create a sense of community can help develop positive engagement in remote workforces. 

Conduct regular mental health surveys and sessions

Many employees share that they don’t receive the support they need to manage work stress. Mental health surveys help identify signs of mental distress in employees and provide insight to restructure organizational policies to boost talent well-being. Frequent check-ins with experts can help prevent stress and burnout among employees. They can also equip remote employees with tools to create a healthy and productive workplace. Including mental health coverage as part of health care plans can also be an effective strategy to improve workforce mental well-being. Managers should ensure that shame and stigma don’t stop employees from using their mental health benefits to seek treatment. Rather, management should encourage and normalize the use of these services.

Encourage regular breaks and time-offs

Remote employees work the equivalent of 1.4 extra days per month compared to their in-office colleagues. What’s more, remote employees often feel guilty about taking a break from work. This inability to unplug can affect their mental health, leading to burnout. And thus, a remote work schedule must consist of breaks at regular intervals. Thirty-seven percent of remote workers said that taking frequent breaks helped them refocus and relax. Encourage employees to reserve time on their calendars for a workout. Organizations can also offer fitness stipends to help employees cover costs related to their physical activities.

Let employees choose their working hours

Rigid work schedules reduce employee creativity and heighten stress levels. Seventy percent of employees said that flexible working makes a job significantly attractive, whereas 90 percent revealed it helped boost their morale. A majority of them also said that flexible hours helped reduce stress and increase productivity. Flexible schedules allow employees to work when they are the most productive. They establish a healthy boundary between work and home. 

What’s more, they can help in reducing employee turnover in the long run. Managers should work with remote employees to set measurable and achievable goals for these schedules to run seamlessly. Goal-setting will move the organizational focus from the number of weekly hours put in by the remote employees to the weekly output they’re delivering.

Provide mental health training to managers and leaders

Remote workers often worry about their performance because of a lack of facetime and feedback. Furthermore, nearly 40 percent of global employees said no one at their company had asked them if they were doing okay. These respondents were 38 percent more likely than others to say that their mental health had declined since the pandemic. 

Managers must demonstrate empathy with their employees. They should have regular one-on-ones with their team members to see how they are holding up. A sense of community is more likely to develop in organizations where leaders share their experience with mental health. This way, employees feel that there is a genuine and collective interest in their well-being. 

Organizations have a responsibility to support their employees’ mental wellbeing. Workplaces that promote mental health are likely to reduce absenteeism, increase productivity, and benefit from the associated gains. A WHO report states that for every US$ 1 put into scaled-up treatment for employee mental health, there is a return of US$ 4 in improved health and productivity. In addition, practices like flexible hours, regular check-ins, and mental health training can help create a healthy and stress-free work environment.

Turing is an automated platform that lets companies “push a button” to hire senior, pre-vetted remote software developers. Firms can hire from a global talent pool of top 1% of 700K+ developers with strong technical and communication skills who work in their time zone.

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By Jul 20, 2021
Here’s How to Create a Workplace Culture Employees Will Never Want to Quit
For Employers

Here’s How to Create a Workplace Culture Employees Will Never Want to Quit

Many employees quit due to bad workplace culture. Clear performance goals, constructive feedback, & employee recognition help build healthy remote work culture.

One in five Americans leaves their job due to bad company culture. The cost of this turnover is around $223 billion, according to a report on workplace culture. Replacing an employee costs up to 150 percent of their annual salary and has consequences on productivity. What’s more, 88 percent of job seekers say that having a healthy work culture is vital for organizational success. Organizations that want to succeed in the remote work era must ensure that employees feel valued to prevent them from switching jobs for better work culture. 

Key points for building a healthy remote culture:

Idea meritocracy and recognition lead to greater productivity.

Organizations with a culture of recognition are 2.5 times more likely to see enhanced employee engagement. Similarly, 90 percent of workers say recognition motivates them to work harder. Therefore, recognition from managers (or lack thereof) significantly impacts performance and workplace culture.

It is equally important to build a culture that implements and celebrates good ideas. This way, remote employees feel motivated to deliver high performance. A culture based on meritocracy promotes psychological safety, transparency, and permission to speak freely regardless of position. It prioritizes collaboration over competition. It empowers employees equally and overturns the arrangement where ideas from the highest-paid team members receive all the attention. It encourages remote employees to be vulnerable with one another. With such a culture in place, employees can share crazy ideas and freely differ from those they dislike, despite the absence of a shared physical workspace.

Setting clear goals leads to employee stickiness and accountability.

Establishing clear performance goals helps in improving employee engagement and decision-making. Engaged employees are 87 percent less likely to quit their organization. On the other hand, disengaged workers are 60 percent more likely to make errors in their work. 

A high-performing remote workforce is a product of transparency. Leaders and team members are most efficient when they have a good understanding of the company vision. Breaking the vision into smaller objectives can make it easier to track and manage progress. Using this method, business owners and managers can gauge if a goal is on its way to being completed on time or if it needs reevaluation. 

Employees are more committed to their work if they feel like they would hamper the team’s performance by lagging behind. This belief ensures that they are well-aligned with their colleagues’ tasks, leading to greater accountability. 

Daily rituals and regular feedback improve team performance.

Twenty-four percent of employees would consider quitting their jobs due to inadequate performance feedback. As opposed to this, employees who receive weekly feedback are 2.7 times more likely to be engaged at work. To build a healthy and sustainable remote work culture, managers must have regular check-ins with their teams. They should be sensitive to the needs of individual remote employees and find clever ways to keep them engaged. 

While delivering feedback, managers should address how the employee’s current contributions have helped achieve organizational goals and suggest ways to improve them. Good feedback highlights an employee’s strengths as well as weaknesses politely and strategically. Employees are more responsive towards business goals when they feel appreciated by their organization. 

Building a culture of constructive feedback shows employees that their opinions are respected in the workplace. Remote organizations should encourage employees to share feedback on the work culture and make adjustments accordingly. This practice helps in improving employee experience for future hires. 

Turing is an automated platform that lets companies “push a button” to hire and manage senior, pre-vetted remote software developers. Firms can hire from a global talent pool of top 1% of 700K+ developers with strong technical and communication skills who work in their time zone.

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By Jun 29, 2021
Three Communication Mistakes Hybrid Teams Must Avoid
For Employers

Three Communication Mistakes Hybrid Teams Must Avoid

Communication is key to organizational success. Hybrid teams should avoid these common mistakes to reduce transactional communication and encourage spontaneity.

The rise of hybrid teams has divided employees into two classes: information-haves and have nots. A recent report stated that it has reduced workdays to purely transactional communications and killed spontaneity between in-office and remote workers.

Additional takeaways: 

Uneven visibility and access to information leads to inconsistent decision making

Hybrid teams often face uneven information sharing. Consequently, in-office employees have a considerable advantage over remote employees. This contrast creates an uncomfortable information hierarchy between team members. Hybrid teams should acknowledge this challenge and establish a few ground rules to encourage consistent information sharing. Handbooks with organizational protocols, FAQs, policy terms, and training resource links can help here.

Influence is a product of visibility. Those who are “visible” influence the flow of work and decisions. Naturally, in-office employees have the edge over remote workers in this aspect too. Remote employees often find it challenging to share their opinions during discussions; when the rest of the team is collectively debating an issue in the office, all they can do is rely on their laptop screens. Remote employees may be working longer hours and increasing productivity but still going unacknowledged compared to in-office workers. And thus, hybrid teams should adopt practices to even out these disparities.

One way is always to encourage input from members that logged in virtually before the rest. Additionally, managers must focus on equalizing employee experience by ensuring equal information accessibility. They should ensure that employee benefits are beneficial for both in-office and remote workers. 

The “Zoom gloom” dampens team morale

Hybrid teams tend to suffer from the “zoom gloom.” This phenomenon is a result of the stress and lack of human contact brought by virtual meetings. Zoom offered advice for eliminating the gloom of too many virtual conferences. It shared that seeing oneself during meetings heightened anxiety levels. And hence, hiding self-view could help in reducing stress. Another research found that when participants got a break and meditated between sessions, their stress levels dropped significantly and did not build up over time. 

Using informal communication channels to build employee relationships is a big challenge for hybrid organizations. More than two-thirds of workers wish to spend more time with their in-office peers to develop better connections. The virtual workplace gets work done but ends up losing out on ‘hall talk.’  Hall talk is crucial for organizations as it encourages new ideas, information-sharing, and relationships. What’s more, virtual workplaces eliminate spontaneity and hamper the quality of communication. Eventually, this can dampen team morale. 

Promoting relationship-building activities in day-to-day work calls can help fix this issue. Activities like ‘creative introductions’ and ‘team kudos’ can help build a rich hybrid workplace. 

Inconsistent engagement leads to misunderstood concepts

The physical office space does not serve as the central hub for engagement in hybrid teams. The absence of a central hub makes it challenging to conduct events that require high levels of engagement, like high-value client meetings. Video calls, although convenient, cannot replicate the richness of face-to-face communications, especially when complex issues are under discussion. As a result, 53 percent of remote workers fear being left out of crucial team meetings and other activities in the office. And thus, managers are in a constant quest to find arrangements that satisfy the communication needs of hybrid teams.

Managers should design a selection guide that allocates workplaces based on the task. This guide can help in identifying and harmonizing activities that genuinely require face-to-face conversation. Similarly, leaders should invest time into equipping hybrid teams with the tools and resources necessary for rich engagement. 

Read the complete article.

Turing is an automated platform that lets companies “push a button” to hire senior, pre-vetted remote software developers. Firms can hire from a global talent pool of top 1% of 700K+ developers with strong technical and communication skills who work in their time zone.

For more information, visit Turing’s Hire page. 

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By Jun 28, 2021
Don’t Forget To Do This Before Switching to Hybrid
For Employers

Don’t Forget To Do This Before Switching to Hybrid

Managers who adopt a hybrid schedule of work for their employees should follow these best practices to help workers avoid burnout and improve team performance.

Two studies recently shared insights on developing hybrid policies that blend remote and in-office work without burning out employees: organize regular team discussions to avoid employee burnout, offer flexible working hours to improve team performance, and train managers to ensure smooth operations. With over forty percent of the global workforce considering leaving their employer this year, a thoughtful approach to hybrid work is critical for attracting and retaining talent. 

Key takeaways from the reports include:

$1 spent on the hybrid policy redesign program led to $1.68 in savings

Organizations that invested in a redesign program before going hybrid saw a healthy return on investment. They saw improved work-life balance and job satisfaction among employees and a drop in employee turnover costs. Voluntary employee exits decreased by 40 percent in these organizations. 

The talent landscape has shifted, and employee expectations have changed. Leaders must rethink employee engagement before adopting a hybrid setup. More than 66 percent of business leaders are redesigning spaces and policies for hybrid work. They are investing in technology to bridge the physical and digital worlds. 

Regular team discussions prevent overload and increase transparency

Structured discussions helped overloaded employees reduce engagements that did not require their inputs. They also helped increase efficiency by eliminating low-value work. Sixty-one percent of employees from organizations that did not conduct such discussions said they felt overburdened by work. Thus, leaders must urgently address digital exhaustion and work on solutions to reduce employee workloads.

Regular team discussions also set clear performance expectations. They helped hybrid employees overcome their fears of being judged based on their work hours instead of their contributions. They improved transparency by providing a clear picture of the hybrid workplace.

Flexible work hours lead to improved employee well-being and performance

The research revealed that hybrid setups worked best when employees were given control over their work instead of mandating specific hours for remote and in-office work. Organizations with flexible work cultures reported fewer work-life conflicts. The employees reported improved well-being and family time. 

Looking at these benefits, 63 percent of high-revenue growth companies have adopted the ‘productivity anywhere’ models that give employees the option of working remotely or on-site. Organizations that focused less on when, where, and how work happened saw optimum results and enabled employees to work in sustainable ways. 

Training managers is essential for ensuring seamless hybrid operations

Remote employees often feel disconnected from their in-office colleagues. Manager training should focus on building an inclusive work environment and give equal attention to all the team members irrespective of where they work. It is equally important to watch out for silos that may arise in the hybrid space. Managers must ensure that in-office and remote employees have access to the same resources and are equally involved in decision-making. They should encourage cross-team collaboration to strengthen the hybrid team. 

Additionally, they should encourage employees to share when they feel overwhelmed by work and allow them to unplug to focus on particular tasks or even recharge. 

Read the complete studies.

Turing is an automated platform that helps organizations go hybrid. It enables companies to hire and manage senior, pre-vetted remote software developers. Firms can hire from a global talent pool of top 1% of 700K+ developers with strong technical and communication skills and who work in their time zone.
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By Jun 22, 2021
Remote Work Boosts Productivity & Innovation, Say Multiple Studies
For Employers

Remote Work Boosts Productivity & Innovation, Say Multiple Studies

Multiple reports show that work from home increased productivity and creativity in workers, and empowered them to be more innovative.

Several tech giants like Qualcomm, Lenovo, and Google have shared that remote work boosted productivity. A study published in the MIT Sloan Management Review revealed that remote work developed big-picture thinking in employees and made them more creative. Yet another found that empowered remote workers led to more innovation. 

Additional findings: 

Remote work spurs productivity and innovation

Qualcomm and Lenovo said they saw a rise in productivity after going remote. The former even added they filed more patents during the pandemic than ever before. 

A report published in MIT Sloan studied 1,000 remote innovation leaders across 17 countries to understand how innovations occurred. The analysis revealed that the companies with a radically progressive approach to remote work saw increased innovation, leading to better employee and customer outcomes. These companies, referred to as “stormers” in the report, were some of the best industry innovators. The report also revealed that the constraints of remote work led to more creativity among employees.

The other report showed that remote employees are more innovative because virtual communication, paired with the perception of being distant, activates the higher-construal thought process, also known as big-picture thinking. Thus, remote workers develop big-picture thinking because of virtual collaborations. 

The empowerment of remote employees promotes innovation

Ninety-four percent of stormers said replacing the command-and-control structure with a culture focused on customer-facing teams helped them perform better. It gave them more autonomy while serving customer needs. This approach transformed customer communication and provided a sense of purpose to employees. What’s more, it also increased customer loyalty by 62 percent for stormer organizations. 

The report also revealed that entrusting remote employees with customer relationships led to innovation. Ninety-one percent of stormer workforces said they enjoyed the recognition their work received through this approach. It motivated them to innovate further. As a result, 96 percent of stormers prioritized self-empowerment over leadership.

Remote work demands intelligent technology, connectivity, and consistency

Qualcomm and Lenovo shared that connectivity and high-quality technology are crucial to support the shift to remote work. They said that having access to the correct devices and connectivity led to greater output. 

Meanwhile, 84 percent of innovators said they could maintain their work-life balance and prevent burnout by sticking to a consistent schedule. They also shared that establishing transparent communication systems within teams was essential for maintaining this balance. In addition to this, virtual lunch breaks engaged remote employees in casual conversation that helped build bonds across teams.

Brainwriting,  bias elimination, and minimal production blockers can maximize virtual productivity

  • Reduce production blockers: Production blockers can hamper creative thinking. Frequent conversations with the team, for example, can act as a production blocker for an employee. Setting aside time for individual work away from the shared screen can help in limiting such blocks and increasing productivity. 
  • Practice brainwriting: Encourage employees to write down their ideas and discuss them together. Brainwriting fixes the flaws of brainstorming by eliminating self-censorship and promoting honest criticism. Virtual communication is ideal for brainwriting because participants can contribute to a shared document without group influence. 
  • Amplify individual input through virtual platforms: Virtual platforms allow only one person to talk at a time. Thus, they make it easier for less vocal participants to share their views. Most importantly, they serve as records of information, allowing organizations to go over previously discussed ideas.
  • Eliminate bias and encourage diverse interactions: People evaluate ideas from colleagues more harshly than those from outsiders. Anonymity helps in evaluating ideas without prejudice. Similarly, conversations between different team members bring diverse perspectives and stimulate creativity. 

Read the complete reports.

Turing is an automated platform that lets companies “push a button” to hire and manage senior, pre-vetted remote software developers. Firms can hire from a global talent pool of top 1% of 700K+ developers with strong technical and communication skills who work in their time zone.

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By Jun 18, 2021
Digital transformation technology
For Employers

Is Every Company a Technology Company Now?

Tech companies have a significant competitive advantage over their non-tech counterparts. As a result, digitization has become a vital part of business strategy.

Is every company a technology company now? According to a new report from Deloitte, they should be. The global consulting firm recently shared research revealing that digitally sound organizations have a significant edge over others. 

More digitally mature companies performed better than lower-maturity companies during the past pandemic year, according to Deloitte. They were about twice as likely to generate net profit margins and annual revenue growth significantly above their industry average, the report stated. 

Meanwhile, nearly two-thirds of respondents in the Deloitte study said that organizations that don’t digitize in the next five years will be “doomed.” 

Additional findings from the report: 

Going digital helped organizations deal with the pandemic

More than 75 percent of organizations said digitization helped them cope with many pandemic challenges. Such companies were twice as likely to cite digital transformation as their core strategy. As a result, more and more companies turned to IT service providers to streamline their operations.

Digitized organizations generate higher net profit and annual revenue 

Digitally-informed organizations have financially outperformed their competitors in almost every aspect. As a result, 69 percent of respondents plan to increase their investments in digital transformation from an average of US$10.9 million to US$12.6 million in the next 12 months. That is 0.6 percent of their annual turnover and 15 percent higher than the amount they’d spent last year. 

Today, digital is a vital part of competitive strategy. It helps organizations improve customer experiences, upgrade products and services, and promote agility in their business models. As a consequence, all strategies will be digital strategies in the future. Going digital will help organizations secure their future in a world of uncertainty. 

Read the complete survey

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By Jun 11, 2021
No Remote Work_ Get Ready For Working Parents To Quit
For Employers

No Remote Work? Get Ready For Working Parents To Quit

A recent survey revealed that working parents greatly value the many benefits of working from home, such as increased productivity and higher savings.

Employees—working parents in particular—have grown fond of working from home. FlexJobs surveyed more than 1,100 parents with children 18 or younger to get insight into their experience working remotely and their expectations from post-pandemic workplaces.

Top takeaways from the survey:

Sixty-two percent of working parents would quit without remote work

Two critical concerns for parents returning to the physical workplace: exposure to Covid-19 infection and the impact of in-office work on their personal lives. Working parents are willing to work more hours, give up on vacation time, and even take up to a 10 percent pay cut just to continue working remotely. 

Fifty-one percent state remote work increases productivity

Remote work allows parents to work in an environment that sets them up for success and makes them more productive. In addition to this, flexible working schedules help them manage their professional and childcare responsibilities with greater ease. 

Ninety-eight percent say remote work saves them money

Working parents have saved significant money working from home. Twenty-one percent report saving around $10,000 per year. Meanwhile, 33 percent and 22 percent report saving $3,900 and $2,000 per year, respectively. 

Sixty-six percent say remote work will improve gender equity

Female labor force participation in the US plummeted to its lowest in 33 years in 2021. What’s more, the pandemic resulted in $800 billion in lost income for women in 2020. But, working parents say they believe that allowing remote work will help improve gender equity. 

Turing is an automated platform that lets companies “push a button” to hire and manage senior, pre-vetted remote software developers. Firms can hire from a global talent pool of top 1% of 700K+ Turing developers with strong technical and communication skills who work in their time zone.

For more information, visit Turing’s Hire page.

Source: Flexjobs

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By Jun 8, 2021