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How to improve candidate experience using developer assessments

How to improve candidate experience using developer assessments

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Ashmita
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July 18, 2019
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8 min read
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David Heinemeier, the creator of Ruby on Rails tweeted:

David Heinemeier, the creator of Ruby on Rails

Several organizations still use whiteboard interviews as a standard process to hire developers.

In a whiteboard interview, developers are given a problem statement for which they have to provide the solution on a whiteboard.

The most common tasks include recalling algorithms and writing them bug-free on the whiteboard.

The important thing to consider is that a whiteboard is not a code editor. Developers can’t actually run the code to see if it works, let alone benchmark it.

Hence, many developers dislike whiteboard-based interview questions. It’s easy to find someone or the other venting about it on various social media platforms.

The problem is not just limited to whiteboard interview processes. Developers around the world face a lot of challenges during interviews pertaining to lengthy recruitment processes, being ghosted by recruiters, coding in an uncomfortable environment, being asked irrelevant questions, etc. The phrase, “the recruitment process is broken,” is used so commonly by developers that it has become a cliché.

Unfortunately, most of these issues are falling on deaf ears. This ultimately gives rise to negative candidate experience. Negative candidate experience can cost companies more than just losing out on good candidates. It can even result in a significant monetary loss. The most famous example is that of Virgin Media where a bad candidate experience cost the company 5.4 million USD per annum.

This is where developer assessments come into play. When developers apply for a job, major organizations consider technical assessments as an integral part of the interview process. Here are a few points on how developer assessments can improve candidate experience:

  • With developer assessment tools, candidates can code from anywhere in an environment of their choice. They do not need to travel long distances to give interviews, code on whiteboards, or get rejected based on a phone conversation during the screening process.
  • Developer assessment tools ensure that interviews are structured. This means that all the candidates are asked the same set of questions and interviewers do not know the specifics of each candidate such as gender, age, ethnicity, etc. This assures the candidate that the hiring decision will be unbiased and they will be benchmarked the right way.
  • Irrespective of what the hiring decision is, candidates, feel that they have had a fair shot at showcasing their skills through an engaging process of developer assessments without any human bias.

So, how can you ensure a seamless candidate experience using developer assessments?

We, at HackerEarth, are aware that enabling a good candidate experience is extremely important. When it comes to technical hiring, HackerEarth’s Assessment software optimizes candidate experience to help you stand apart from your competitors.

Here are 5 ways how HackerEarth Assessment ensures a better candidate experience:

1. Let candidates use the assessment platform in the language of their choice

We understand that developers live in every corner of the world.

Hence, HackerEarth’s Assessment software supports various spoken languages so that developers can use the platform easily.

The languages that are supported include:

  • English
  • Japanese
  • Chinese
  • French
  • Portuguese
  • Russian

This instills a sense of belonging among candidates and they are bound to be happy.

2. Know the value of a candidate’s time

“You know why everyone loves a vacation? Because it’s the only time it’s okay to waste time.”

If you’re on the hunt for a new candidate to fill a job position, do whatever you can to save their time.

Time is a great equalizer, and every minute that a candidate uses for one task can be used for another, especially during interviews.

HackerEarth has a user-friendly coding environment in which candidates can write code in any language.

When they compile their code, they are shown errors in real time and this helps them review their code and make it better. They can also run their code against custom input and output.

One of the features that HackerEarth’s coding environment has is code stubs. Code stubs are boilerplate code that is required whenever a candidate writes code.

For example, the following C++ code is a code stub. This will be available to candidates in the code editor when they select C++ as the programming language:

#include <iostream>

#include <string>

using namespace std;

int main()

{

<candidate will write the code based on the problem statement>

}

In this example, the candidate can focus on writing the code that will help in solving the problem statement. This saves the candidates time allowing them to focus more on the approach that they want to follow.

Another feature in HackerEarth’s Assessment software that saves a candidate’s time is the Autocomplete feature.

This feature in which the code editor predicts and displays the name of the related functions, methods, standard classes and objects, operators that you are typing.

For example, when a candidate types java.util, they see suggestions of various functions that can then be imported into their code by pressing Ctrl and the space bar.

 improve candidate experience using developer assessments

Also, you can check whether a code submitted by the candidates is written efficiently or not. We use an open-source platform, SonarQube, to inspect code quality. It performs automatic reviews of code to detect bugs, vulnerabilities, etc.

The code quality score is determined by calculating the average of four key metrics: maintainability, reliability, security, and cyclomatic complexity. In other words, the code-quality score is an average value of key metrics that represent the best practice to write code.

3. Let candidates know if something is wrong

With HackerEarth’s Assessment software, candidates get proactive alerts in their test environment if there’s any error pertaining to network failure, server error, errors in loading JavaScript files, etc.

This eliminates confusion, making it easier for them to fix their code before they submit it.

Candidate experience
Let candidates know if something is wrong in the platform

4. Conduct online video interviews

Online video interviews are great and serve as a valuable tool for providing a seamless candidate experience. HackerEarth’s live interview platform lets candidates take an interview from the comfort of their home or a location of their choice.

All they need is a working webcam and a computer with a working Internet connection.

HackerEarth’s Assessment software integrates interviews with a candidate’s Google calendar. Relevant emails are automatically sent to candidates when interviews are scheduled, rescheduled, or canceled.

It also has a default system check where a candidate’s system is automatically checked for the following:

  • Versions of the operating system and browser
  • Whether the JavaScript language is enabled
  • Dimensions of the screen size that is being used
  • Whether cookies are enabled
  • Whether the candidate’s webcam and microphone/speaker are working

In addition to writing code in real-time, candidates can explain technical concepts via high-quality video calls. Using the multi-room text chat in video interviews, candidates can easily communicate with their recruiters.

Online interviews can connect the best candidates with the best companies out there. However, it is important for both candidates and recruiters to be aware of things that they need to do to ensure that the interview is hassle-free.

5. Light side vs. dark side

You must have heard some coders tossing phrases such as “I am much better at reading dark text on a white background” or “The dark background minimizes distraction. It lets you focus on the only light source, which is your desktop/laptop.”

So, what do we choose? The light theme or the dark theme?

We understand that different developers have different perceptions about coding and themes are a personal preference. Hence, HackerEarth’s Assessment software lets developers code in a theme of their choice—light or dark—whichever they are comfortable with.

Other best practices

So far, we have spoken about providing a seamless candidate experience using developer assessments. Here are other small tips to keep in mind to ensure that you attract the right talent, make their experience worthwhile, and retain them.

Write accurate job descriptions

Job descriptions allow you to make informed hiring decisions. Most importantly, before a candidate actually applies for a job, a clear job description is what motivates them to do so.

Let’s take a look at a few examples of good and bad jobs posts.

Bad job post

Bad job posting example
Bad job post example

Source: Upwork Global Inc.

Good job post

Good job post example

Source: HackerEarth

A good job description uses a clear job title, speaks directly to candidates, describes tasks, and most importantly, sells your job.

They provide the required information to candidates to help them assess if they are suitable for the position.

Remember that the candidate is also evaluating your organization and you based on such small but important details.

Address the company culture with enthusiasm

Company culture is what makes the company; it is the inherent personality of an organization.

Also, it is the top concern for millennials in particular. Hence, it is not enough to simply tell candidates that your organization offers a great company culture.

You have to give the candidate an accurate view of what it’s actually like to work for your organization. Start by citing examples of employees who have been in the organization for a long time and what culture means to them, define your core values, etc.

Make faster hiring decisions

Faster hiring decisions do not mean you make a rush hire. It means that you value the candidate’s time and want to make the interview process as seamless as possible.

For faster hiring, organizations can:

  • Schedule interviews shortly after receiving the application
  • Ask for work samples ahead of time
  • Make the candidate meet multiple parties in one day

Keep candidates in the loop

Candidates may get frustrated if they send in applications for a job role and never hear from the company or fill an online job application and get an email saying their profile will be reviewed.

No one ever says by whom and by when. Also, after they appear for an interview and if they are not selected, they often hear recruiters say, “We shall get back to you.”

Be modest. Let candidates know whether they have made the cut or not. If they have not been selected, send them encouraging emails listing their areas of improvement, which can help them in their next job application.

This opens up a door of positivism and respect in the candidate’s mind for your organization.

Do not let them wonder where they stand. It is always a wise thing to keep them informed, no matter what the hiring decision is.

Here’s an example of a good rejection email.

xample of a good rejection email

Source: Beamery

Do your homework

Research what qualifies as a competitive salary for the open position. It is important that candidates with the desired skill sets, who strive to do their best, and who can perform exceptionally well, feel sufficiently compensated for their worth.

Final thoughts

To sum up, high-quality talent expects a high-quality candidate experience. Starting from the initial recruiting process—sending emails or conducting phone calls—to rolling out a job offer, candidates these days expect the best out of an interview process.

We hope this article will help you provide a seamless candidate experience during your next tech assessment.

Feel free to get in touch by writing to me at ashmita@hackerearth.com

Happy hiring!

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Ashmita
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July 18, 2019
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8 min read
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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.

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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