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Upskilling And Reskilling: Ready To Future-Proof Your Workforce?

Upskilling And Reskilling: Ready To Future-Proof Your Workforce?

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Nidhi Kala
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April 17, 2023
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11 min read
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At the time of writing this, we’re all in the middle of a meltdown in the tech industry. Companies like Meta have had to lay off up to 13% of their workforce, and Amazon had to trim the salaries of 50% of its employees this year to manage budgets.

If you’re one of these companies that had to lay off members of your tech team or are finding it hard to hire due to fiscal constraints, then you’re undoubtedly facing a talent crunch.

Now, you have two choices:

Choice 1. Hire employees on a tight budget

Choice 2: Ask existing employees to take on the responsibilities handled by the employees who had to be laid off

The problem? Your existing employees don’t have the skills to take on those extra responsibilities. This results in halting the organization’s overall progress.

Upskilling and reskilling can be your weapons in such struggling situations. They put you at the forefront in helping your employees adapt to the new changes in the recession.

In this article, we’ll uncover:

  • The difference between upskilling and reskilling
  • Benefits of upskilling and reskilling
  • Examples of companies leveraging upskilling and reskilling programs
  • An important drawback of most learning platforms that employers need to be aware of
How to hire your next employee

What is upskilling and reskilling?

Upskilling and reskilling sound very similar, but they both have different business goals. Your company needs processes for both in order to bridge the skill gap and boost growth.Let’s understand them in detail.

Upskilling

Upskilling refers to the process of acquiring new or advanced skills that are relevant to one’s current or future job, profession, or industry. It involves learning new techniques, technologies, or approaches to work that can help individuals increase their productivity, efficiency, and effectiveness in their roles.

Upskilling can be done through a variety of methods, including formal training programs, online courses, on-the-job training, mentorship, and self-directed learning. It is often pursued by individuals who want to stay competitive in their careers, keep up with industry trends, or advance their professional goals.

For example, a backend developer can join a full-stack development program that teaches them about React and Node JS in order to transition to a full-stack role.

The three key reasons why an engineering leader might want their team to go through an upskilling program are:

  • Helping employees perform better in their current job
  • Helping the workforce adapt to new and future changes in the industry
  • Helping the workforce stay confident in their skills and adapt to new industry changes

Also, read: How to Assess Programming Skills Before Hiring

Upskilling is no longer a luxury—it’s a survival skill,” says Riccardo Ocleppo, founder and director of the EU-accredited Open Institute of Technology (OPIT). “Our flexible online MScs in Computer Science and Data Science let professionals earn a recognised degree without pausing their careers.”

Reskilling

Reskilling refers to the process of learning new skills that are different from one’s current job or profession, with the aim of switching to a new career or industry. It involves acquiring a completely new set of skills that are relevant to a different job or profession. However, the skills employees learn may or may not overlap with their current role.

Reskilling may involve pursuing formal training programs, apprenticeships, internships, or other learning opportunities to gain the necessary skills and knowledge required for a new profession. It may also require significant investment in time, effort, and resources, as individuals may need to start from scratch in a new field.

One example of reskilling in the tech world is when a software developer decides to transition to a career in cybersecurity. This would involve acquiring a completely new set of skills and knowledge, such as understanding different types of cyber threats, security protocols and measures, and the tools and technologies used to mitigate these risks.

Scenarios in which engineering leaders might ask their team members to reskill include:

  • Transitioning to new projects or initiatives that require skills that are different from the current expertise.
  • Adapting to new technology such as when rewriting their code base or changing their underlying infrastructure.
  • Retaining high-performing existing employees whose roles have become redundant
  • Filling vacant roles in the organization through lateral hiring.

How are upskilling and reskilling different?

Now you know what exactly upskilling and reskilling mean. So let’s weigh in the differences both the terms have for better clarification:

UpskillingReskillingIt helps employees learn additional skills to perform better in their current job.It helps employees to learn new skills to perform a different job.The skills they learn are relevant to their current job.The skills they learn are not related to their current job.It involves employees polishing their current skill sets.It usually involves a change in career.More employee-focused. Upskilled employees can get new opportunities and develop talent for personal growth.More employer-focused. It helps organizations retain their best talent by providing them with growth paths

Why are upskilling and reskilling important?

According to the book Organizational Learning and Development During Recession by Marianne Reyes, Martin Clarke, Director of General Management Programmes at Cranfield School of Management, stresses:

It is vital to give your top people the support they need, especially during economic downturns” because a “well-trained and skilled workforce will be instrumental in supporting organizations during the downturn as well as after economic recovery and growth resumes.

The author talks about a survey conducted by Boston Consulting Group and the European Association of People Management that found cutting down the training and development costs during the recession can have a serious impact on the organization in the longer run.

Clearly: upskilling and reskilling of employees is crucial for the individual’s growth as well as the organization’s growth, and it becomes even more important during a recession. According to The Future of Jobs Report 2020, companies say that about 40% of workers will require six months of reskilling, and 94% will have to learn new skills on the fly. Why? Because tech leaders anticipate the in-demand skills to change in a few years, and the current hiring freeze has left them without the option of onboarding specialized talent.

This is not to say that skill improvement has benefits only during an economic downturn. The pandemic taught us that technology and business needs can change on a dime, and tech teams need to be prepared for more such “out of the left field” moments. However, it is true that learning and development programs have significant value in keeping the product pipeline churning during a hiring freeze.

With that said, let’s look at some of the ways in which timely learning programs can help your tech teams during crunch situations (with real-life examples):

#1— It can reduce skill gaps (the IBM example)

In 2009, the global recession significantly impacted IBM’s revenue and growth. To overcome this challenge, IBM decided to launch a program called the Skills Initiative that aimed to train and retrain IBM employees in high-demand skills, such as cloud computing, data analytics, and cybersecurity.

As part of the program, IBM offered employees a range of learning opportunities, including online courses, virtual classrooms, and hands-on training. The company also provided financial incentives for employees who completed training programs and achieved new certifications.

The Skills Initiativehelped IBM to retain its workforce during the recession and equipped its employees with the skills and knowledge needed to meet the changing demands of the market. By upskilling and reskilling its tech team, IBM was able to remain competitive and even expand its business into new areas, such as cloud computing and data analytics.

#2— It can boost productivity and retention (the AT&T example)

During the 2008-2009 recession, AT&T faced a decline in its revenue and was forced to lay off a significant number of employees. To reduce costs and remain competitive, the company decided to upskill its remaining workforce to improve productivity and retain employees.

AT&T implemented a comprehensive training and development program called Workforce 2020, which aimed to upskill its employees in emerging technologies, such as cloud computing, big data analytics, and machine learning. The company invested heavily in online training programs, workshops, and mentoring to help employees learn new skills and apply them to their jobs.

The upskilling program had several benefits for AT&T, including heightened productivity, reduced errors and defects, and improved customer satisfaction. Additionally, the program helped AT&T retain its employees during the recession by offering them new opportunities to grow and develop their careers within the company.

#3— It definitely can save your budget! (the Microsoft example)

Imagine hiring a new employee during a recession. The process of starting from scratch is time-consuming. Instead, it is always easier to bridge the skill gap through learning programs than conducting the hiring process from scratch and bringing in the new hire.

In 2018, Microsoft announced a new initiative called Microsoft Leap, which aimed to reskill and retrain thousands of its existing employees who were at risk of being displaced by automation and artificial intelligence. The program included a four-month training course that covered both technical and soft skills and provided hands-on experience with emerging technologies such as machine learning, data science, and artificial intelligence.

Through the Microsoft Leap program, the company was able to reskill more than 10,000 of its employees and retain them in new, high-demand roles within the company. According to an article in Forbes, Microsoft was able to save approximately $30 million in recruitment fees alone by reskilling its existing employees instead of hiring new ones. The company also reported that the reskilling program led to a 38% increase in employee satisfaction.

Also, read: Internal Hackathons: Drive Innovation and Increase Engagement in Tech Teams

The drawback of most upskilling and reskilling programs

While the upskilling and reskilling programs are commendable initiatives taken by organizations, they come with a drawback: no measurable ROI, which means there is no clear way to see real skill development.

To understand this further, I sat down with our Founder, Sachin Gupta to understand skill benchmarking and why it is critical in today’s world. Here’s what he said:

  • The technology landscape is changing so rapidly that organizations have to continuously adapt to the cumulative skills of their employees—to keep them in line with the tech innovation curve.
  • Large organizations find it challenging to have an accurate picture of the skill map of their teams and data in HCM tools.
  • While many organizations have learning programs, they struggle to measure the ROI from such programs.
  • While employees intend to upskill, they may not always have a sense of their skill baseline as they may not know how they are progressing in their skill development journeys.

How to develop an upskilling and reskilling strategy for your employees?

According to LinkedIn’s 2023 Workplace Learning Report, 89% of L&D pros agree that proactively building employee skills for today and tomorrow will help navigate the evolving future of work. That’s the reason organizations need to double down on their efforts to upskill and reskill their employees. But how?

Here’s a 5-step process you can use to develop an upskilling and reskilling strategy.

Step #1—Conduct a skill gap analysis

A skill gap analysis is an assessment conducted by HR teams to identify whether or not the current skill sets of employees can meet the overall needs of the company.

For example, the organization conducts a survey where they ask questions to their employees about the current skills they possess and how they have upskilled themselves. Employees fill out the survey, and the HR team analyzes submitted data.

To conduct a skill gap analysis:

Steps to conduct skills gap analysis

Plan

Perform skill gap analysis at two levels—individual and team.

  • For individuals, identify the skills a job needs and compare them to the employee’s actual skills.
  • For teams, determine whether employees have relevant skills to work on a new project or will the company need to hire externally.

Identify key skills

What skills do we value as a company? What skills do employees need to do their work well and will need in the future? Answering these two questions will help you understand the skills you require.

Measure your current skills

Create a skills spreadsheet for each position, and list the skills employees in these positions have.

Step #2—Integrate upskilling and reskilling into your employee development plans

Emphasize the importance of learning and reskilling for employees. There may be times when employees cannot upskill themselves due to their key responsibilities. That’s where you as an organization need to integrate learning and development programs into employees’ annual goals and objectives.

For example, offering eLearning assets to employees every quarter, such as an eBook relevant to their expertise.

These employee learning programs can fuel knowledge and skills in employees, and help them stay prepared for the future.

So, make sure the goals are:

  • Specific
  • Obtainable
  • Time-bound

For example, developers on the engineering team need to learn at least two skills within the period of 6 months.

Step #3—Choose your training methods

There are several training methods to choose from:

But before choosing a specific training method, make sure the learning and development team understands employees’ learning styles and uses the right format for them.

For example, the L&D team uses group activity learning format for employees who prefer learning one-to-one.

Step #4—Leverage technology

To streamline the development of your employee development program, you need to amplify technology. Here are two primary technologies you’ll need when you plan to create your own learning and development programs.

1. Learning management system

A learning management system handles all aspects of employee training—from creating to delivering and tracking training material. It helps both the organization and employees by:

  • Tracking employee’s progress toward meeting their learning goals
  • Collecting data for improving the learning process.

For example, Paycore, a corporate LMS helps administrators organize learning programs for individuals, teams, or departments. With this software, administrators can create interactive online course content with surveys, quizzes, and assessments.

2. Digital adoption platform

A digital adoption platform integrates with the company’s training program applications. It helps employees navigate the platform by offering step-by-step instructions to complete a specific task.

For example, Whatafix is a digital adoption platform that helps L&D teams create in-app content such as step-by-step guidance, walkthroughs, task lists, and smart tips to guide employees through complex digital processes.

Step #5—Follow up and track progress

The ultimate goal of the upskilling and reskilling program is not just to get your employees to upskill but to check if they have learned new skills. That’s where you need to measure the training program’s effectiveness and monitor KPIs. Some of the KPIs include:

  • Course completion rate
  • Training progression rate
  • Assessment score
  • Lowering skill gap analysis
  • Improving proficiency.

So, use the following metrics to measure the effectiveness of the learning and development program:

Employee feedback

Once the training program is complete, ask employees about their experience with the training program. What have they learned from the program? Was the program in-depth or did they need more resources to strengthen their skill development? How are they planning to use these skills in their job?

Skill assessments

A skill assessment platform helps L&D teams see whether or not employees have learned the subject and topic well from the training program.

For example, HackerEarth’s learning and development program offers an assessment platform.

This is where L&D teams can create their assessment platform for their employees to take assessments after completing the training program. Further, the platform also provides employees’ progress reports to their managers.

Post-training job efficiency

Observe your employees and see how they have executed the newly learned skills on the job. But the problem with tracking the employee’s progress?

Even after observing their work, there is no documented data of how much of the newly learned skills they implemented and whether or not they are ready to take up the additional role or move to an entirely different role.

That’s where HackerEarth’s learning and development program helps organizations.It does not only provide you with a skill assessment platform but, as Sachin says:

  • The product introduces a layer of objectivity to their upskilling program
  • It creates a guided learning path where they can see their progress firsthand
Things Tech Companies Can Expect From HackerEarth's Learning and Development

According to Sachin, there are 4 things users can expect from this L&D product:

  • Employees will get real-time and objective feedback on their skill development. Starting with baseline evaluations, through continuous evaluations, and ultimately a summative assessment. Over time, we will be able to recommend to learners what specific areas of skill development they should focus on.
  • Employers will be able to measure ROI on their upskilling programs.
  • Employers will be able to create a skill map for their organization. They can understand the current skill set in their team and plan for skill development over time.
  • Accurate skill data can help employees and employers match people to opportunities they are most suited to.

All these things lead to greater output but also more engaged and retained teams.

You see? The goal here is for both employees and organizations to get a clear view. For organizations, it’s about whether or not employees have developed their skills, and if so, are they ready to take on more specialized roles?

For employees, it’s about seeing whether they have a clear career path to move forward on.

Use learning and development tools to upskill your tech teams

To sum up, learning and development programs should be an important facet of every tech team’s culture on any given day. However, during troubling times such as a recession, it can become a crucial weapon in fighting the wolves at the door.Upskilling and reskilling programs can help you:

  • Retain your high-performing engineers
  • Provide them paths to grow their skill sets and their career prospects
  • Help your tech team stay ahead of time.

And so, choose the right learning platform to empower your employees in keeping up with changing technologies and on-demand skills. See their progress in real-time with HackerEarth’s learning and development platform that offers curated assessments and learning paths to your internal employees, and helps you quantify the benefits of every certification.

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Author
Nidhi Kala
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April 17, 2023
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11 min read
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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 c

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.

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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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