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Technology Skills Gap: Definition, Analysis and Steps to Close

Technology Skills Gap: Definition, Analysis and Steps to Close

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Ruehie Jaiya Karri
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July 18, 2022
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8 min read
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The skills gap is real. There’s no way around it and it has only been increasing exponentially. Nearly one-third of employers surveyed in the Future Of Work 2022 report by Monster agree that the IT skills gap has increased from a year ago. 87% of employers say they have trouble finding qualified talent as a result. Also, the acceleration of remote/hybrid work and the heavy dependence on technology has led to different and newer skills being required from employees and employers alike. A McKinsey study shows respondents leaning toward skill-building as the best way to close the skill gaps rampage in this industry. Social and emotional skills like empathy, compassion, and adaptability have been spotlighted. The need to address the skills gap is more urgent than ever. Building a future-ready workforce begins with skill transformations—providing opportunities for your employees to upskill continuously so they are better prepared to handle the rapid changes the tech industry is known for. Wondering where to start? You’re in the right place. In this article, we see what an IT skills gap means, how to identify skills gaps, how to perform a skills gap analysis, and strategies for upskilling your employees. Read on 🙂

What is technology skill gap?

Why is there a skills gap

It’s an exciting time to be a software developer. Changes are taking place not only in advanced technologies like net development machine learning, AI, and data science, but also in how we work, emphasizing soft skills like communication, understanding, and adaptability. But here’s the catch—for software development teams to remain in step with the rapid changes in the industry, they must place upskilling at the center of their strategic approach. Over 50% of employees say their employer doesn’t understand their current capabilities. This leads to employers offering the wrong kinds of training or worse, offering no training at all. Before you know it, there will be too big a gap between required and needed skills; productivity will take a hit and employees will feel demotivated. To put it simply, you have a skills gap problem on your hands. A technology skills gap is when your existing workforce’s skill set doesn’t align with the skills they need to do their jobs. How do we bridge this? By conducting a skills gap analysis on an individual, departmental, or company-wide level at periodic intervals. The results of this technology skills gap analysis will help inform training requirements, employee development plans, and hiring strategies.

Also, read: What Top Developers Are Looking For In Their Next Job: A Data-Backed Answer

IT skills gap analysis: A definition

Rapid digitization in the tech industry means that certain jobs will disappear due to automation, while others will change in terms of their core tasks and responsibilities. You should also factor in all the changes brought about by the remote/hybrid work models of today. This is where the IT skills gap widens and job descriptions evolve to better suit work requirements. Enter skills gap analysis—think of it as a planning tool to ensure that your tech team is equipped to meet the demands of your organization as well as adapt to the ever-changing needs of the tech industry. You, as a manager, can uncover gaps in your tech teams, organize employee training plans, and set career development goals. Assess the employee’s (in this case, the developer’s) ability to perform each task to a required level. Determine what skills and knowledge are currently missing in your development teams and which of those skills are essential for your organization’s performance. Then curate individual learning and upskilling paths for each developer on the team.

How to perform a skills gap analysis

How to perform a skills gap analysis

Now that we’ve discussed what an IT skills gap analysis is, and why it’s important, let’s dive into how to conduct one:

Define the skills needed for a particular job description

Before you get started with upskilling and training programs for your teams, it’s crucial to decide the scope of your skills gap analysis. If it is at the individual level, then you need to evaluate each employee’s skills against the existing job description of their roles. If it is at a team/company level, focus on whether the team detail-oriented and has the required skills to complete an upcoming project. We are delving into the individual skill sets of in-house developers in this article so that would be the scope of the analysis here. In this case, team leads can help you with uncovering the skills gaps of the individual employees in their respective departments. Based on these findings, you can formulate a tentative plan of action that narrows down the skills gap at your company.

Also, read: Streamline Your Recruitment Process With These 7 Tips

Track market trends to identify key “future skills”

Keep an eye on key trends in the tech industry and what type of skills come to the forefront in 5 or 10 years. This will help you set your target range of skills needed accurately. Make use of skills identification software as a helpful starting point to map the relevant target skills. With the tech industry rapidly evolving, developers and companies alike need to stay abreast of the latest technologies, languages, and advancements in their fields to remain competitive. Evaluate and determine the skills you will need in the future by answering these questions:

  • Which jobs could become automated?
  • What skill sets are currently on the rise?
  • Which currently (not yet defined roles) will your company need?
  • What new skills would our employees need to do their jobs well in the future?
  • Does the hiring process align with our new skills requirements?

Rank your target skill sets by the level of importance. Assign a numerical value between one and ten for each:

  • Level of importance (1-10)
  • Level of proficiency in skill required (1-10)

Use this rating as your baseline when measuring your employees’ current skills.

Also, read: Building Future-Ready Tech Teams

Review the current skills of your employees

Identifying your target set of skills will help you to determine your “distance” to those skills. Now that you have your ratings in place, the next step is to evaluate where the skills gaps lie. To measure individual skill levels, you could use:

  • Employee surveys
  • Skills assessments
  • Interviews with employees
  • Feedback from 360-degree performance reviews
  • Analysis of KPIs for teams and individuals

HR technology for skills management like HRSG, 15Five, Kahuna, Skills DB Pro, and TrakStar can make a skills gap analysis much less time-consuming.

Use data to plan for and close the IT skills gap

By now, you will have a comprehensive list of skills gaps that need to be addressed. Generally, skills gaps are addressed by a combination of two methods: training and hiring. #1 Training to close the skills gap – Assess your employees and create individual learning paths for them that focus on the areas that you’re looking to upskill. Once you have a plan in place, provide the resources to train your employees. The right training can help you close gaps between current and desired skill levels. You can offer:

  • Team-level workshops
  • Employee mentorship programs
  • External certification courses
  • Employee skills assessments
  • Internal hackathons

We’ve discussed them at length in the next section of this article. #2 Hiring to close the skills gap – If your skills gaps are too expansive to minimize with training, consider hiring contingent workers to bring new knowledge and skills into your company. Up your hiring game by:

  • Incorporating rigorous screening of candidates for skills your company needs, into your hiring process. You can use pre-employment coding assessments to ensure your candidates are a good fit for the team.
  • Sourcing passive candidates via social recruiting when hiring for niche skills. Use Boolean search strings for better results. Recruiters need to think outside the box if they want to hire the best talent out there.

Also read: The Ultimate Guide To Social Recruiting

Make the IT skills gap analysis an ongoing activity

Solving the skills gap will only work out when you act on the data from the skills gap analysis and insights and bake it into your team objectives. You have to run the analysis on an ongoing basis for it to have maximum impact. Effectively, that means ensuring you build these insights into your approach for talent acquisition, talent reviews, and succession planning, as well as, of course, reskilling, upskilling, and career planning.

What are the reasons for skill gaps within a tech team?

Rapid pace of technological advancements: The tech industry is ever-evolving, with new tools, languages, and methodologies emerging regularly. Training and education systems sometimes struggle to keep pace with these rapid changes, resulting in graduates who might not be equipped with the latest skills.

Mismatched expectations: Companies often seek “unicorns” – candidates who are experts in multiple domains. This unrealistic expectation can create perceived skill gaps when, in reality, specialists with deep knowledge in specific areas are available.

Education system limitations: Traditional education systems might not always align with industry needs. They sometimes emphasize theoretical knowledge over practical, hands-on experience, leading to graduates who understand concepts but lack practical application skills.

Lack of on-the-job training: Companies that don’t invest in continuous training for their employees risk widening the skills gap. As technologies advance, without regular upskilling, even experienced professionals can find their skills becoming obsolete.

Geographical disparities: Tech hubs like Silicon Valley might have a surplus of specific skills, while other regions may face shortages. Companies not open to remote work might find it challenging to bridge this geographical skills gap.

Addressing the tech hiring skills gap requires a multifaceted approach, combining revamped education strategies, realistic hiring expectations, and consistent on-the-job training.

Closing the gap: How to upskill your in-house development team

There is one answer that stands out when asked how to close the skills gap—upskilling. 67% of Indian respondents say their organizations are prioritizing skill-building as reported by McKinsey. Now on to the next question; what specific upskilling methods can you add to best equip your developers with the skills of the future? Here is a mix of internal and external training programs that you could rely on to do the job:

Team-level workshops

Organize internal workshops for all your tech teams at reasonable intervals during which someone from each team shares their knowledge, tips, and tricks for how they resolved some problems. You could also ask them to prepare a presentation and quiz the developers attending these sessions to increase their participation. Another option would be to bring in professional training firms that hold seminars and provide hands-on experience for your developers. Asking industry experts to come and conduct workshops at your company would be a highly engaging and informative experience for your tech teams.

Employee mentorship programs

Pair senior and more experienced developers with freshers so they can pass on their knowledge to them. They can guide and teach junior developers, which also increases teamwork and knowledge transfer. A smart workplace mentoring program improves culture, keeps new hires engaged, and provides a supportive environment for learning.

External certification courses

Set aside a budget for external training courses. Encourage your teams to do courses on Udemy or Coursera that also hand out certificates on completion of the course. There are a variety of courses available for developers to upskill in or learn new skills like Full-stack, DevOps, Blockchain, and so on.

Employee skills assessments

This is where HackerEarth steps in. To be ready for the future is to be intentional about the steps you take right now. As an organization focused on driving innovation continuously, you have to start with your employees. Nurture them, engage them, and provide them with ample opportunities to upskill or re-skill at every stage of their career. HackerEarth’s L&D platform helps employees to assess themselves and identify skills gaps. Once these are defined, you can then curate individual learning pathways that will help your team upskill, grow and be ready for future challenges in the ‘present’. Continuously run employee skills assessments across 41+ programming languages and 80+ skills, and analyze progress with insight-rich reports provided by our platform. You can effortlessly benchmark your tech team’s performance and track their growth.

Also, read: How To Create An Automated Assessment With HackerEarth

Internal hackathons

Keeping your team sufficiently engaged given that everybody is working remotely is crucial for productivity. Our internal hackathons bring different teams together to enhance cross-team collaboration and participate in real-world challenges to brush up on their skills. Doing this will help close the gaps between their current skill level and your desired skill level. Also, your employees are more likely to stick with you because you are investing in their career development and coming up with creative solutions to keep them engaged.

Also read: What Makes Us The Tech Behind Great Tech Teams

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Author
Ruehie Jaiya Karri
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July 18, 2022
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8 min read
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Vibe Coding: Shaping the Future of Software

A New Era of CodeVibe coding is a new method of using natural language prompts and AI tools to generate code. I have seen firsthand that this change makes software more accessible to everyone. In the past, being able to produce functional code was a strong advantage for developers. Today,...

A New Era of Code

Vibe coding is a new method of using natural language prompts and AI tools to generate code. I have seen firsthand that this change makes software more accessible to everyone. In the past, being able to produce functional code was a strong advantage for developers. Today, when code is produced quickly through AI, the true value lies in designing, refining, and optimizing systems. Our role now goes beyond writing code; we must also ensure that our systems remain efficient and reliable.

From Machine Language to Natural Language

I recall the early days when every line of code was written manually. We progressed from machine language to high-level programming, and now we are beginning to interact with our tools using natural language. This development does not only increase speed but also changes how we approach problem solving. Product managers can now create working demos in hours instead of weeks, and founders have a clearer way of pitching their ideas with functional prototypes. It is important for us to rethink our role as developers and focus on architecture and system design rather than simply on typing code.

The Promise and the Pitfalls

I have experienced both sides of vibe coding. In cases where the goal was to build a quick prototype or a simple internal tool, AI-generated code provided impressive results. Teams have been able to test new ideas and validate concepts much faster. However, when it comes to more complex systems that require careful planning and attention to detail, the output from AI can be problematic. I have seen situations where AI produces large volumes of code that become difficult to manage without significant human intervention.

AI-powered coding tools like GitHub Copilot and AWS’s Q Developer have demonstrated significant productivity gains. For instance, at the National Australia Bank, it’s reported that half of the production code is generated by Q Developer, allowing developers to focus on higher-level problem-solving . Similarly, platforms like Lovable enable non-coders to build viable tech businesses using natural language prompts, contributing to a shift where AI-generated code reduces the need for large engineering teams. However, there are challenges. AI-generated code can sometimes be verbose or lack the architectural discipline required for complex systems. While AI can rapidly produce prototypes or simple utilities, building large-scale systems still necessitates experienced engineers to refine and optimize the code.​

The Economic Impact

The democratization of code generation is altering the economic landscape of software development. As AI tools become more prevalent, the value of average coding skills may diminish, potentially affecting salaries for entry-level positions. Conversely, developers who excel in system design, architecture, and optimization are likely to see increased demand and compensation.​
Seizing the Opportunity

Vibe coding is most beneficial in areas such as rapid prototyping and building simple applications or internal tools. It frees up valuable time that we can then invest in higher-level tasks such as system architecture, security, and user experience. When used in the right context, AI becomes a helpful partner that accelerates the development process without replacing the need for skilled engineers.

This is revolutionizing our craft, much like the shift from machine language to assembly to high-level languages did in the past. AI can churn out code at lightning speed, but remember, “Any fool can write code that a computer can understand. Good programmers write code that humans can understand.” Use AI for rapid prototyping, but it’s your expertise that transforms raw output into robust, scalable software. By honing our skills in design and architecture, we ensure our work remains impactful and enduring. Let’s continue to learn, adapt, and build software that stands the test of time.​

Ready to streamline your recruitment process? Get a free demo to explore cutting-edge solutions and resources for your hiring needs.

Guide to Conducting Successful System Design Interviews in 2025

What is Systems Design?Systems Design is an all encompassing term which encapsulates both frontend and backend components harmonized to define the overall architecture of a product.Designing robust and scalable systems requires a deep understanding of application, architecture and their underlying components like networks, data, interfaces and modules.Systems Design, in its...

What is Systems Design?

Systems Design is an all encompassing term which encapsulates both frontend and backend components harmonized to define the overall architecture of a product.

Designing robust and scalable systems requires a deep understanding of application, architecture and their underlying components like networks, data, interfaces and modules.

Systems Design, in its essence, is a blueprint of how software and applications should work to meet specific goals. The multi-dimensional nature of this discipline makes it open-ended – as there is no single one-size-fits-all solution to a system design problem.

What is a System Design Interview?

Conducting a System Design interview requires recruiters to take an unconventional approach and look beyond right or wrong answers. Recruiters should aim for evaluating a candidate’s ‘systemic thinking’ skills across three key aspects:

How they navigate technical complexity and navigate uncertainty
How they meet expectations of scale, security and speed
How they focus on the bigger picture without losing sight of details

This assessment of the end-to-end thought process and a holistic approach to problem-solving is what the interview should focus on.

What are some common topics for a System Design Interview

System design interview questions are free-form and exploratory in nature where there is no right or best answer to a specific problem statement. Here are some common questions:

How would you approach the design of a social media app or video app?

What are some ways to design a search engine or a ticketing system?

How would you design an API for a payment gateway?

What are some trade-offs and constraints you will consider while designing systems?

What is your rationale for taking a particular approach to problem solving?

Usually, interviewers base the questions depending on the organization, its goals, key competitors and a candidate’s experience level.

For senior roles, the questions tend to focus on assessing the computational thinking, decision making and reasoning ability of a candidate. For entry level job interviews, the questions are designed to test the hard skills required for building a system architecture.

The Difference between a System Design Interview and a Coding Interview

If a coding interview is like a map that takes you from point A to Z – a systems design interview is like a compass which gives you a sense of the right direction.

Here are three key difference between the two:

Coding challenges follow a linear interviewing experience i.e. candidates are given a problem and interaction with recruiters is limited. System design interviews are more lateral and conversational, requiring active participation from interviewers.

Coding interviews or challenges focus on evaluating the technical acumen of a candidate whereas systems design interviews are oriented to assess problem solving and interpersonal skills.

Coding interviews are based on a right/wrong approach with ideal answers to problem statements while a systems design interview focuses on assessing the thought process and the ability to reason from first principles.

How to Conduct an Effective System Design Interview

One common mistake recruiters make is that they approach a system design interview with the expectations and preparation of a typical coding interview.
Here is a four step framework technical recruiters can follow to ensure a seamless and productive interview experience:

Step 1: Understand the subject at hand

  • Develop an understanding of basics of system design and architecture
  • Familiarize yourself with commonly asked systems design interview questions
  • Read about system design case studies for popular applications
  • Structure the questions and problems by increasing magnitude of difficulty

Step 2: Prepare for the interview

  • Plan the extent of the topics and scope of discussion in advance
  • Clearly define the evaluation criteria and communicate expectations
  • Quantify constraints, inputs, boundaries and assumptions
  • Establish the broader context and a detailed scope of the exercise

Step 3: Stay actively involved

  • Ask follow-up questions to challenge a solution
  • Probe candidates to gauge real-time logical reasoning skills
  • Make it a conversation and take notes of important pointers and outcomes
  • Guide candidates with hints and suggestions to steer them in the right direction

Step 4: Be a collaborator

  • Encourage candidates to explore and consider alternative solutions
  • Work with the candidate to drill the problem into smaller tasks
  • Provide context and supporting details to help candidates stay on track
  • Ask follow-up questions to learn about the candidate’s experience

Technical recruiters and hiring managers should aim for providing an environment of positive reinforcement, actionable feedback and encouragement to candidates.

Evaluation Rubric for Candidates

Facilitate Successful System Design Interview Experiences with FaceCode

FaceCode, HackerEarth’s intuitive and secure platform, empowers recruiters to conduct system design interviews in a live coding environment with HD video chat.

FaceCode comes with an interactive diagram board which makes it easier for interviewers to assess the design thinking skills and conduct communication assessments using a built-in library of diagram based questions.

With FaceCode, you can combine your feedback points with AI-powered insights to generate accurate, data-driven assessment reports in a breeze. Plus, you can access interview recordings and transcripts anytime to recall and trace back the interview experience.

Learn how FaceCode can help you conduct system design interviews and boost your hiring efficiency.

How Candidates Use Technology to Cheat in Online Technical Assessments

Impact of Online Assessments in Technical Hiring In a digitally-native hiring landscape, online assessments have proven to be both a boon and a bane for recruiters and employers. The ease and...

Impact of Online Assessments in Technical Hiring


In a digitally-native hiring landscape, online assessments have proven to be both a boon and a bane for recruiters and employers.

The ease and efficiency of virtual interviews, take home programming tests and remote coding challenges is transformative. Around 82% of companies use pre-employment assessments as reliable indicators of a candidate's skills and potential.

Online skill assessment tests have been proven to streamline technical hiring and enable recruiters to significantly reduce the time and cost to identify and hire top talent.

In the realm of online assessments, remote assessments have transformed the hiring landscape, boosting the speed and efficiency of screening and evaluating talent. On the flip side, candidates have learned how to use creative methods and AI tools to cheat in tests.

As it turns out, technology that makes hiring easier for recruiters and managers - is also their Achilles' heel.

Cheating in Online Assessments is a High Stakes Problem



With the proliferation of AI in recruitment, the conversation around cheating has come to the forefront, putting recruiters and hiring managers in a bit of a flux.



According to research, nearly 30 to 50 percent of candidates cheat in online assessments for entry level jobs. Even 10% of senior candidates have been reportedly caught cheating.

The problem becomes twofold - if finding the right talent can be a competitive advantage, the consequences of hiring the wrong one can be equally damaging and counter-productive.

As per Forbes, a wrong hire can cost a company around 30% of an employee's salary - not to mention, loss of precious productive hours and morale disruption.

The question that arises is - "Can organizations continue to leverage AI-driven tools for online assessments without compromising on the integrity of their hiring process? "

This article will discuss the common methods candidates use to outsmart online assessments. We will also dive deep into actionable steps that you can take to prevent cheating while delivering a positive candidate experience.

Common Cheating Tactics and How You Can Combat Them


  1. Using ChatGPT and other AI tools to write code

    Copy-pasting code using AI-based platforms and online code generators is one of common cheat codes in candidates' books. For tackling technical assessments, candidates conveniently use readily available tools like ChatGPT and GitHub. Using these tools, candidates can easily generate solutions to solve common programming challenges such as:
    • Debugging code
    • Optimizing existing code
    • Writing problem-specific code from scratch
    Ways to prevent it
    • Enable full-screen mode
    • Disable copy-and-paste functionality
    • Restrict tab switching outside of code editors
    • Use AI to detect code that has been copied and pasted
  2. Enlist external help to complete the assessment


    Candidates often seek out someone else to take the assessment on their behalf. In many cases, they also use screen sharing and remote collaboration tools for real-time assistance.

    In extreme cases, some candidates might have an off-camera individual present in the same environment for help.

    Ways to prevent it
    • Verify a candidate using video authentication
    • Restrict test access from specific IP addresses
    • Use online proctoring by taking snapshots of the candidate periodically
    • Use a 360 degree environment scan to ensure no unauthorized individual is present
  3. Using multiple devices at the same time


    Candidates attempting to cheat often rely on secondary devices such as a computer, tablet, notebook or a mobile phone hidden from the line of sight of their webcam.

    By using multiple devices, candidates can look up information, search for solutions or simply augment their answers.

    Ways to prevent it
    • Track mouse exit count to detect irregularities
    • Detect when a new device or peripheral is connected
    • Use network monitoring and scanning to detect any smart devices in proximity
    • Conduct a virtual whiteboard interview to monitor movements and gestures
  4. Using remote desktop software and virtual machines


    Tech-savvy candidates go to great lengths to cheat. Using virtual machines, candidates can search for answers using a secondary OS while their primary OS is being monitored.

    Remote desktop software is another cheating technique which lets candidates give access to a third-person, allowing them to control their device.

    With remote desktops, candidates can screen share the test window and use external help.

    Ways to prevent it
    • Restrict access to virtual machines
    • AI-based proctoring for identifying malicious keystrokes
    • Use smart browsers to block candidates from using VMs

Future-proof Your Online Assessments With HackerEarth

HackerEarth's AI-powered online proctoring solution is a tested and proven way to outsmart cheating and take preventive measures at the right stage. With HackerEarth's Smart Browser, recruiters can mitigate the threat of cheating and ensure their online assessments are accurate and trustworthy.
  • Secure, sealed-off testing environment
  • AI-enabled live test monitoring
  • Enterprise-grade, industry leading compliance
  • Built-in features to track, detect and flag cheating attempts
Boost your hiring efficiency and conduct reliable online assessments confidently with HackerEarth's revolutionary Smart Browser.
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