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Everything You Need To Know About Adding Job Simulations To Your Hiring Process

Everything You Need To Know About Adding Job Simulations To Your Hiring Process

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Kumari Trishya
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April 25, 2022
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3 min read
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The job market is always changing – and with it, the way companies recruit and hire new employees. From in-person interviews to virtual job interviews to now job simulations, companies are constantly looking for new and innovative ways to assess candidates. Job simulations are a relatively new addition to the hiring process, but they’re quickly becoming one of the most popular tools employers use to assess candidates. Job simulations are precisely what they sound like – simulations of real-world job tasks. They can be used for various positions, from customer service reps to salespeople to engineers. One of the benefits of job simulations is that they allow candidates to show off their skills in a realistic setting. In a job simulation, candidates can demonstrate their ability to problem-solve, work under pressure, and think on their feet – skills that are often difficult to assess in a traditional job interview.

What is a job simulation?

Job simulations are tests that ask applicants to perform tasks that are similar to tasks they would do every day on the job. Job simulations are an increasingly popular way to help hiring managers make good decisions about whom they choose as employees. They provide a more realistic assessment of what it will be like working with them, giving you valuable insight into whether or not this person would fit into your business well and produce great results for the company overall. There are different types of job simulations, but they all have one goal in common: to help you assess a job candidate’s skills, abilities, and potential job fit. For example, some job simulations might ask candidates to complete a series of online exercises similar to what they would do on the job while others might be more like role-playing exercises, where the candidate is put in a simulated work environment and asked to complete tasks or solve problems.

Also read: Hire The Best Coders For Your Team With HackerEarth’s Coding Assessment

Job simulation benefits that you need to know about

Some Benefits Of Job Simulations To Hire Better

Job simulations offer several benefits for both employers and job candidates. Job simulations allow employers to assess job candidates’ skills, abilities, and knowledge in a real-world setting. This type of assessment is especially beneficial for positions that require problem-solving skills or decision-making ability. For job candidates, job simulations offer a chance to demonstrate their skills and abilities in a pressure-free environment. They also provide an opportunity to receive feedback from an employer on their performance. Overall, job simulations are valuable for both employers and job candidates. Given below are the most commonly used simulations:

A better understanding of the job:

Job applicants can learn about what they will be doing on the job which means that if they are hired, they will know exactly what is expected of them. This gives them peace of mind because employers are more transparent about available positions. Positions have detailed descriptions of what the employee is responsible for. This will help the employee do well under pressure and follow protocol.

Predict on-the-job performance:

You can find out in advance what a candidate’s true performance on the job is like by using simulations, which are unique to hiring. With these tasks given to new employees and their real-life results compared against one another, it will give you confidence that your decision was correct when making someone an offer or not.

Easy and time-saving:

Job simulations are a time-saving, cost-effective, and user-friendly alternative to pre-employment tests. They can be completed in just minutes without any hassle or difficulty which makes them perfect for busy hiring managers looking to get the job done quickly.

Impartiality:

People can understand how they measure up to other people for certain jobs. They know that this system is fairer than other systems because it is not possible to know what skills were used during training sessions.

Predict job satisfaction:

You want your employees to be happy and enjoy their work. This is because they will perform better if they are happy. One way to make sure people know if they will like the job is by simulating a real work environment. This will help the candidate understand more about what the job entails. When someone understands that they will enjoy the job tasks, they are more likely to enjoy the job itself. It is great for you because you can make a wise decision, and it is also great for them because they can have a better understanding of the job.

Employers stick to their main objective:

You should not just hire someone because you like them. If everyone is similar, there will not be a good balance in the workplace. It is better to have a team of people who are different from each other. You can do this by using job simulations. This will help you to choose the best candidate based on their skills and not on personal biases.

Personalized simulations:

You can create simulations that are personalized to the job. This will help you to assess if the candidate has the specific skills that are required for the job. It is important to have a simulation that is as close to the real job as possible. This way, you can be sure that you are making the best decision for your company.

Customizable:

You can customize simulations to assess different skills. For example, if you want to assess teamwork skills, you can create a simulation that requires candidates to work together to complete a task. If you want to assess customer service skills, you can create a simulation in which candidates have to deal with difficult customers.

Objective:

Simulations are objective and provide data that can be analyzed. This data can be used to make decisions about who to hire.

Valid:

The validity of simulations means they accurately reflect the job. If a simulation is not valid, it will provide inaccurate data about jobs to be performed on them.

Reliable:

Simulations are reliable and produce consistent results. If a simulation is not reliable, it will not provide accurate data about the job.

Option to opt-out:

Opting out is an option that applicants have. It might seem like a disadvantage at first, but it’s better for both the candidate and employer if they leave before being hired because leaving after hiring will affect your workforce management whereas opting out during the job posting process won’t.

Promotes diversity:

Company leaders are realizing that they need to have a diverse workforce for their company to succeed. Without it, customers will go elsewhere and growth might never happen. Many companies struggle to find employees that represent the full spectrum of society. Some businesses have trouble retaining them and others might not be able to hire applicants at all because their job descriptions are too general, which can lead employers into unconscious hiring bias where they subconsciously select candidates based on race or gender rather than qualifications such as skillset.

Also, read: Diversity And Inclusion in 2022: 5 Essentials Rules To Follow

Some common problems people face when trying to create inclusive workplaces include employee retention issues due to ongoing support from management. The need for more diverse recruitment tactics to succeed with this task as hiring managers are having difficulty finding qualified workers. The solution lies in making sure everyone feels valued. Job simulations allow people to explore jobs without any risk or consequences, allowing them to find out if it’s something they want before investing time and energy into starting a new career. Many times candidates go through this process early on in their search so that they get more information about what type of job would be best suited for them. This makes sure that once things do become serious between two companies there is no confusion as far as what is expected of either side. Job simulations provide an invaluable service for both employer and employee, taking the guesswork out of the hiring process and allowing everyone to move forward with confidence. Job simulation exercises have been used for many years to prepare employees before they take on new roles. These simulations allow companies to measure both knowledge of the position and ability, but also interpersonal skills through role-plays where people get infinite chances at making mistakes without any consequences.

Types of job simulations

There are many different types of job simulations. You might have to do an assignment in person, take a test online, or do a project at home. You might also have to act out a role, give a presentation, or do a simulation on the computer. Given below are a few of the most common job simulation examples:

Hands-on tests:

Hands-on tests are a way for potential employers to see how you would do the job. They will ask you to do things that are similar to what you would do on the job. This could be writing code, working with others to design a website, or completing an onsite construction task.

Also, read: 6 things to look for in your coding assessment tool

Live job simulations:

Live simulations are a way to see how you might handle different situations. They can be done in a virtual room or in person. You might have to do a role-play, group interview, presentation, or case study. The goal is to see how you solve problems, use your skills, and understand the role. Group interviews can show who has leadership skills, who works well independently, or who is good with clients.

Role-Playing:

Role-playing is a common way to test someone’s skills in a work environment. In this type of simulation, you will be asked to pretend to be in a work situation and deal with the challenges that come up.

Take-home tests:

Some companies prefer to give candidates a take-home assignment instead of a timed skill test or live simulation. Here, job seekers should take-home assignments to show how they work independently and without hands-on management. Some experts believe this is less accurate than doing the job in person, but if you’re looking for an insight into someone’s skill set it can be a good strategy.

Situational tests:

Situational judgment tests are questions about work-related scenarios. The test-taker is asked to use their judgment to find a solution that will work out for everyone involved. These tests are good for jobs such as customer service and supervisory roles.

In basket tests:

In-basket exercises test how well you can do certain tasks such as responding to emails, taking phone calls, and handling grievances in a set amount of time. They are often used to test administrative and managerial skills.

Live presentations:

Presentations can be a great way to assess candidates’ ability to present in a convincing, enthusiastic, and engaging way with their audience. Presentations allow you to see how well someone can structure a presentation and how they adapt when something unexpected happens. Presentations are the best way to find people for jobs in sales, marketing, human resources, and training and development.

Group interviews:

Group exercises are when more than one person is invited to work together. The people in the group are assessed on their performance and behaviors. Many customer-facing positions, like sales, consulting, or management positions use group exercises. This way, you can see how well the candidates work in a team, communicate, as well as delegate tasks. Group interviews are also helpful when you want to save time and money. You can also use this opportunity to spot leaders, reduce biases, and compare candidates in real-time.

Live Case Studies:

In this type of interview, you will be given a challenging and relevant business scenario to solve. These interviews are good for higher-level positions as they put candidates in difficult environments with high pressure which can assess their problem-solving skills or adaptability abilities. As you can see, there are many different types of job simulations that you can use in your hiring process. By using a variety of job simulations, you can get a better idea of how the candidate would perform on the job and how to prepare for job simulation practice tests. If you’re looking to improve your hiring process, consider using some or all of these different types of job simulations.

How to set up and run a job simulation assessment for tech hiring

Incorporating job simulations into the tech hiring process offers a direct window into a candidate’s practical skills and problem-solving abilities. Here’s a comprehensive step-by-step breakdown of the process:

  • Conduct a ‘Needs Analysis’

Begin by understanding the core responsibilities and challenges of the job role. Engage with team members to identify crucial tasks and potential scenarios that can be used in the simulation. Tech recruiters can sync up with engineering leads and CTOs, to understand the nuances of an open role and the expectations from a developer who fills the role.

  • Develop the scenario

Design a task that mirrors the real-world responsibilities that align with the given role. Ensure it’s challenging enough to gauge a candidate’s skills but feasible within the given timeframe.

  • Establish a controlled environment

Utilize platforms like virtual machines, sandboxed environments, or specific simulation software. This ensures that candidates have a realistic experience without the risk of disrupting main systems.

  • Clarify objectives and guidelines

Set clear expectations. Candidates should be aware of the objectives, available tools, time limits, and the process of evaluation

  • Monitor and evaluate

While the candidate is engaged in the task, observe their approach, resourcefulness, and efficiency. It’s not just about the end result; the process can be equally telling.

  • Feedback and reflection

Post-simulation, hold a debriefing session. Discuss the candidate’s approach, thought process, and areas of improvement. This feedback will help both the candidate and the evaluator understand clearly if said candidate is the right person for the job.

Examples of common job simulation tests

In the realm of tech hiring, job simulations can vary widely based on the role in question. Here are some useful examples:

Code writing and debugging simulations: This is a staple for developer roles. Candidates might be asked to write code fulfilling specific criteria or debug existing code to rectify issues.

System Design simulations: Especially relevant for architect roles, this simulation assesses the ability to design robust systems given certain constraints and requirements.

Pair programming: Candidates collaborate with a current team member to co-create a solution, offering insights into their teamwork and coding abilities simultaneously.

Technical troubleshooting: Particularly helpful for IT support or system admin roles, simulations might revolve around diagnosing and resolving tech issues within a system.

When and where to use online job simulation test in tech hiring

Post the initial screening: Once resumes have been shortlisted and basic qualifications are vetted, engineering leaders can use simulations to delve deeper into a candidate’s practical skills.

Before conducting an in-person interview: Before investing time in comprehensive interviews, simulations can provide a skill-based shortlist, ensuring only the most competent candidates move through to the next stage.

For remote evaluations: With the rise of remote work, simulations offer a consistent metric to evaluate candidates globally and understand their real-world skills.

For lateral hiring and specialized roles: For roles that demand deep expertise or are pivotal to business operations, simulations can provide a more nuanced understanding of a candidate’s capabilities.

Also, read: Complete Coding Assessment Guide – Definition, Advantages, and Best Practices

Create the perfect online job simulation assessments with HackerEarth

HE is better than any alternatives for automated assessment tools

If you’re looking for the perfect online job simulation assessment for developers, HackerEarth has exactly what you need. Our job simulation questions are specifically designed to test a developer’s skills and knowledge, and they can be customized to match the job you’re hiring for. Plus, our platform makes it easy to administer the assessment and track results.

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

Over 13000+ questions

HackerEarth Assessments provides an excellent library of coding questions that you can use for assessment purposes. It also offers the ability to create custom test items if needed, with 13000+ unique exam-building possibilities at your disposal. Get the ability to ask 12 different types of questions, including project-type problems with custom data sets and test cases.

Automated invigilation and robust proctoring

HackerEarth’s automated invigilation with robust proctoring gives you the security of knowing that your assessments are completely fair. It also prevents impersonation, reports tab switching for all hackers on screen at once, and customizable stringency settings to make sure no one gets treated unfairly or willingly cheats and plagiarizes their work which is why we recommend this powerful tool.

40+ programming languages

With the ability to code in 40+ programming languages, a real-time editor, and compatibility with Jupyter Notebooks. HackerEarth Assessments make it easy for developers who love learning new things on their terms while also being able to provide employers valuable feedback through assessments.

Detailed reporting

HackerEarth has made it easy to find and evaluate developers. With detailed reports on each candidate’s performance, insight-rich software that captures all the important data about codes executed during interviews as well as a replay feature for those wanting more detail – HackerEarth is your one-stop shop when looking at potential new hires.

Data-driven dashboards

The HackerEarth Assessments dashboard is a data-driven insight to help finetune the hiring funnel. It gives you an in-depth analysis of your coding tests and creates industry-leading processes for finding new talent, enabling any business or organization that needs it with no artificial intelligence required.

Enterprise-level features

HackerEarth is the perfect place for any enterprise looking to build their tech team with no worries. We offer industry-leading compliance, security, and scalability so you can be confident in whatever size of the organization that suits your needs best. In a world where the job market is becoming increasingly competitive, it’s more important than ever to make sure you’re doing everything in your power to set yourself apart from the rest. Work simulations are one way of doing just that. They give candidates a chance to experience what it would be like to do the job they’re applying for. Not only that, but as mentioned above, job simulation training also has several other benefits that can help both employers and employees alike. If you’re looking for ways to create better online job simulations while hiring developers, check out HackerEarth as it has everything you need under one roof.

FAQs on job simulations in tech hiring:

#1 How extensive should a job simulation be?

It should be comprehensive enough to gauge necessary skills but should not demand too much of a candidate’s time. Understand that many candidates are working employees who may not have too much time on their hands to devote to a simulation test. Creating a really long test will only result in drop offs. A good time limit for such tests usually ranges between 30 minutes to 2 hours.

#2 How do job simulations compare to traditional interviews?

Simulations are more task-oriented, focusing on practical skills. Traditional interviews, while also essential, often emphasize soft skills and cultural fit. Simulations can help in finding the right candidate for specialized roles, and gives developers a way to showcase their skills in real time. Traditional interviews may lack this component of real-time skill testing, and hence fall behind job simulations in terms of efficacy.

#3 Is there a candidate preference for job simulations?

Many candidates appreciate the clarity and fairness simulations offer, allowing them to demonstrate skills in a realistic context, rather than abstract discussions.

#4 Are job simulations adaptable for all tech roles?

Absolutely, but the design and complexity should be tailored to align with the specific responsibilities and challenges of the role in question.

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Author
Kumari Trishya
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April 25, 2022
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3 min read
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Vibe Coding: Shaping the Future of Software

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 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 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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