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Best Hiring Platforms : Guide for All Recruiters

Best Hiring Platforms : Guide for All Recruiters

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Kumari Trishya
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March 19, 2024
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9 min read
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Hiring platforms have become more than just a tool in the modern recruitment industry—they're a game changer. They've transformed the recruitment process, making it more efficient, effective, and even enjoyable. Our aim here is to explore and evaluate the best hiring platforms available today - for both tech and non-tech recruiters. Whether you're a seasoned recruiter or new to the game, understanding the best hiring platforms and identifying the best platform for tech and non-tech hiring is crucial in this digital age.

The evolution of hiring platforms

The journey from traditional to digital recruitment is a tale of transformation and innovation. Once upon a time, the recruitment process was a largely manual affair, with piles of paper resumes, landline phone interviews, and time-consuming face-to-face meetings. This method, while personal, was often slow and labor-intensive. Fast forward to today, and the "digital hiring evolution" has revolutionized this process. The advent of modern recruitment platforms has led to a complete overhaul of the hiring methodology. These platforms have introduced efficiency, accessibility, and a broader reach into the recruitment process. Now, employers can post a job online and receive applications from across the globe within hours. Video interviews, AI-driven candidate screening, and digital onboarding have become the new norm, significantly reducing the time and resources spent on finding the perfect candidate. This evolution is not just a matter of convenience; it's about tapping into a wider talent pool, enhancing the quality of hires, and democratizing the recruitment process. The shift to digital platforms has made recruitment more data-driven, allowing for more informed decision-making. This transformation is ongoing, with continuous improvements and innovations shaping the future of hiring.

What makes a hiring platform stand out?

In a sea of digital recruitment solutions, what makes a hiring platform truly stand out? It's not just about having a user-friendly interface or a wide array of job listings; it's about a holistic approach to meeting the needs of both employers and job seekers.
  • Firstly, standout platforms offer advanced matching algorithms. These aren't just keyword matchers; they're sophisticated systems that can analyze a candidate's skills, experience, and even potential cultural fit. This precision reduces the time-to-hire and increases the likelihood of a successful placement.
  • Another key feature is the integration of AI and machine learning. These technologies are not just buzzwords; they're tools that significantly enhance the recruitment process. From automated candidate sourcing to predictive analytics forecasting the success of a hire, these features are pushing the boundaries of what's possible in recruitment.
  • Communication tools are also crucial. Platforms that facilitate seamless interaction between employers and candidates through in-app messaging, video interviews, and real-time feedback loops stand out. This level of engagement keeps candidates invested in the process and improves the overall experience.
  • Last, standout platforms offer insightful analytics and reporting features. These tools help recruiters track the effectiveness of their hiring process, understand trends, and make data-driven improvements. It's about turning data into actionable insights.
In evaluating recruitment platforms, these are the features that differentiate the good from the great. A platform that embodies these qualities isn't just a tool for hiring; it's a strategic partner in the quest to build a strong, effective workforce.

Essential criteria for comparing top hiring platforms

When it comes to evaluating the plethora of hiring platforms out there, it's crucial to have a structured approach. Here's a table that breaks down the key criteria used to assess and rank these platforms:

Comprehensive-Review-of-Top-Hiring-Platforms

These hiring platform assessment criteria provide a comprehensive framework for "recruitment platform evaluation," ensuring a thorough and balanced review of each platform.

Overview of leading hiring platforms for tech recruiting

We have looked at the criteria for evaluating hiring platforms. This should be helpful for all recruiters around the globe. Now, since we at HackerEarth are solely focused on tech hiring, let's explore some of the leading hiring platforms that have been making waves in the tech recruitment world: Overview-of-Leading-Hiring-Platforms

Features and benefits of each platform

I. HackerEarth

  1. Features: HackerEarth excels in providing a diverse range of technical and coding assessments, along with interview solutions. It's particularly strong in facilitating coding competitions, which can be a unique way to engage and identify top talent.
  2. Benefits: Its strength lies in its ability to accurately assess technical skills, making it ideal for organizations focusing on hiring developers and technical experts. The platform's ability to host coding challenges also aids in employer branding and engaging with the developer community.

II. iMocha

  1. Features: iMocha stands out with its extensive library of customizable tests covering various skills and roles. It includes innovative features like AI-LogicBox, a tool for assessing a candidate's logical abilities.
  2. Benefits: The platform's versatility makes it suitable for a wide range of industries, not just tech. It helps in reducing the time to hire by quickly identifying candidates with the right skill set.

III. Coderbyte

  1. Features: Coderbyte focuses on coding challenges and assessments, providing a straightforward platform for evaluating coding skills. It also offers a unique feature where employers can see how candidates approach coding problems in real-time.
  2. Benefits: Ideal for organizations that prioritize coding skills, Coderbyte helps in identifying candidates with strong problem-solving abilities and proficiency in coding. Its real-time code playback feature provides deeper insights into a candidate's thought process.

IV. Devskiller

  1. Features: Devskiller brings a strong emphasis on real-world coding scenarios and technical skills assessment. It uses a method called RealLifeTesting™ to simulate real work environments.
  2. Benefits: This platform is particularly beneficial for companies looking to assess how a candidate would perform in actual job scenarios. It helps in evaluating not just coding skills, but also how a candidate tackles real-world problems.

Comparative analysis of tech hiring platforms mentioned above

In comparing these platforms, it's clear that each has its niche:
  1. Usability: All platforms offer user-friendly interfaces, but HackerEarth stands out for its ease of use and navigation.
  2. Feature Set: While all platforms are strong in their offerings, HackerEarth offers the broadest range of test types, making it versatile for various industries. Coderbyte and Devskiller are more specialized, focusing heavily on coding and technical assessments.
  3. Employer Needs: For tech-heavy organizations focused on coding and technical roles, HackerEarth would be more appropriate. iMocha’s broad assessment range makes it suitable for diverse hiring needs, while Coderbyte is ideal for companies seeking in-depth analysis of coding skills.
Bottom line is, comparing hiring platforms is not about finding the best platform overall, but the best fit for your specific needs. Each platform has distinct platform features comparison points that cater to different recruitment tool benefits. The right choice depends on the specific requirements of your organization, such as the industry, the roles you are hiring for, and the depth of technical assessment required.

Choosing the right hiring platform

In the quest to find the ideal hiring platform, aligning your choice with your specific business and recruitment needs is paramount. This alignment ensures that the platform you choose not only fits within your recruitment strategy but also enhances it. Let’s break down the key factors in this alignment process:
  1. Understanding Your Hiring Needs: Start by assessing your recruitment objectives. Are you looking for a platform that specializes in tech roles, or do you need a more versatile tool for various job positions? This assessment will help you focus on platforms that cater to your specific hiring needs.
  2. Company Size and Scalability: A startup's needs will differ significantly from those of a large corporation. Smaller companies might prioritize cost-effectiveness and ease of use, while larger organizations may need a platform that can scale and integrate seamlessly with existing HR systems.
  3. Industry-Specific Features: Certain industries may require specific functionalities. For example, tech companies might look for platforms with robust technical assessments, while other sectors may prioritize general aptitude and personality tests.
  4. Cultural Fit: The platform should resonate with your company's culture and values. A platform that emphasizes candidate experience and employer branding, for instance, would align well with organizations prioritizing these aspects.
Remember, the right platform is one that not only meets your current needs but also has the potential to grow with your business.

Budget and resource considerations

Budget and resources are critical factors in the decision-making process. A platform’s cost should align with your recruitment budget without compromising on quality and efficiency. Here’s how to factor in these considerations:
  1. Understanding Total Cost: Look beyond the sticker price. Consider implementation costs, training, and any additional fees for extra features or services.
  2. Return on Investment (ROI): Evaluate the potential ROI of the platform. A more expensive platform might offer advanced features that speed up the hiring process and improve the quality of hires, leading to long-term savings.
  3. Resource Allocation: Assess the resources required to manage the platform effectively. This includes training your HR team, integration with existing systems, and ongoing maintenance.
  4. Flexible Pricing Models: Some platforms offer flexible pricing based on usage, size of the company, or specific features required. These options can be particularly advantageous for smaller businesses or those with fluctuating hiring needs.
When pondering over hiring platform budget considerations and recruitment resource planning, it’s essential to find a balance between financial constraints and the functional requirements of your hiring process. The goal is to invest in a platform that not only fits your budget but also provides the necessary tools to streamline your recruitment process and attract top talent.

Implementing your chosen hiring platform

Once you've selected the ideal hiring platform, the next critical step is its successful integration into your existing HR processes. This stage is crucial for ensuring that the platform is utilized effectively and delivers the expected benefits.
  1. Planning and Strategy: Begin with a clear plan. Define your goals for the platform and how it fits into your broader HR strategy. This hiring platform integration should involve key stakeholders to ensure alignment and support.
  2. Technical Integration: Work closely with your IT team to integrate the new platform with existing systems, such as your Applicant Tracking System (ATS), HRIS (Human Resources Information System), and other relevant tools. Seamless integration is key for data consistency and workflow efficiency.
  3. Training and Support: Provide comprehensive training for your HR team and recruiters. Ensure they understand how to use the platform effectively. Good training leads to better adoption and utilization.
  4. Communication: Communicate the change to all relevant parties. Explain how the new platform will benefit them and the organization. Clear communication can help mitigate resistance to change and is one of the cornerstones of onboarding best practices.
  5. Feedback Loop: Establish a feedback loop to continuously gather insights from users about the platform. This feedback is invaluable for making adjustments and improvements.
Remember, successful implementation of tech hiring platforms is not just about the technical aspects but also about people and processes.

Measuring the success of your chosen platform

Once your hiring platform is up and running, it's important to measure its success and impact. This assessment is typically done through various hiring platform success metrics and recruitment KPIs (Key Performance Indicators):
  1. Time-to-Hire: This metric measures the time taken from posting a job to accepting a candidate. A decrease in time-to-hire often indicates higher efficiency in the recruitment process.
  2. Quality of Hire: Assess the performance of new hires sourced through the platform. This can be measured through their productivity, performance evaluations, and retention rates.
  3. Candidate Satisfaction: Candidate feedback can provide insights into the effectiveness of the hiring process. High satisfaction levels often correlate with a positive employer brand and better candidate experience.
  4. Cost-Per-Hire: Evaluate the financial efficiency of the platform. This includes costs related to postings, recruiter time, and any additional expenses incurred during the hiring process.
  5. Usage Statistics: Analyze how frequently your team uses the platform and its features. High usage rates can indicate a good fit with your team's needs and workflows.

The future of hiring platforms

The landscape of recruitment technology is continually evolving, shaped by the ever-changing demands of the job market and advancements in technology. As we look to the future of hiring platforms, several key recruitment technology trends are emerging:
  1. Artificial Intelligence and Machine Learning: AI and ML are set to become even more integral in hiring platforms, with advanced capabilities in automating screening processes, enhancing candidate matching, and predicting job performance.
  2. Remote Hiring and Virtual Onboarding: The rise of remote work is pushing platforms to adapt by offering tools for remote hiring processes, including virtual interviews and digital onboarding experiences.
  3. Diversity and Inclusion Technology: More platforms are incorporating features to promote diversity and reduce unconscious bias in recruitment, such as anonymized resumes and AI-driven fair screening processes.
  4. Data-Driven Decision Making: The use of big data in recruitment will grow, with platforms offering more sophisticated analytics to inform hiring decisions and predict trends.
  5. Integration of Soft Skills Assessment: Beyond technical abilities, assessing a candidate's soft skills will gain prominence, utilizing AI and psychological data to gauge team fit and leadership potential.

Preparing for future hiring challenges

As the recruitment landscape evolves, so too must our approaches to hiring. Adapting to these changes is crucial for organizations to stay competitive and effective in their recruitment efforts. Here's how to prepare for future challenges:
  1. Stay Informed and Adaptable: Keep abreast of emerging trends and be ready to integrate new technologies and methodologies into your recruitment process.
  2. Emphasize Continuous Learning: Encourage your HR and recruitment teams to engage in continuous learning and development, especially in areas of new technology and recruitment best practices.
  3. Focus on Candidate Experience: As competition for top talent intensifies, enhancing the candidate experience will become even more critical. This includes clear communication, streamlined application processes, and feedback mechanisms.
  4. Invest in Technology: Be proactive in investing in new recruitment technologies that align with your organizational needs and future recruitment strategies.

Conclusion

In wrapping up, it's clear that the right hiring platform can significantly impact the success of your recruitment efforts. These platforms are not just tools; they are partners in your journey to find and hire the best talent. As we've explored, the future of hiring is dynamic, and staying ahead requires leveraging technology for efficient and effective hiring processes.
We encourage you, as readers and industry professionals, to embrace these technological advancements. Whether it's through integrating AI into your recruitment process, adapting to remote hiring, or prioritizing diversity and inclusion, these platforms offer endless possibilities to enhance your hiring strategy. Remember, in the fast-paced world of recruitment, staying ahead means staying informed, adaptable, and always ready to embrace the future.

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Author
Kumari Trishya
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March 19, 2024
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9 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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