Home
/
Blog
/
Tech Assessment
/
A Comprehensive Guide to Communication Assessment for Recruiters

A Comprehensive Guide to Communication Assessment for Recruiters

Author
Nischal V Chadaga
Calendar Icon
December 12, 2024
Timer Icon
3 min read
Share

Effective communication is the cornerstone of success in any organization. For recruiters, identifying candidates who excel in communication is critical—not just for client-facing roles, but for fostering collaboration, solving problems, and driving innovation within teams. Assessing communication skills, however, requires more than a basic interview. In this guide, we’ll explore what communication assessments entail, their benefits, and how HackerEarth equips recruiters with tools to evaluate communication skills effectively.

What Is a Communication Assessment?

A communication assessment evaluates a candidate’s ability to convey ideas, collaborate effectively, and adapt their communication style based on the context. It typically focuses on:

  • Verbal communication: Speaking clearly and persuasively.
  • Written communication: Crafting clear, concise, and professional messages.
  • Active listening: Understanding and processing information effectively.
  • Non-verbal communication: Body language, tone, and emotional intelligence.

For tech roles, effective communication often involves simplifying complex ideas for non-technical stakeholders or collaborating with diverse, cross-functional teams.

Why are communication skills critical?

According to a LinkedIn report, 92% of recruiters believe soft skills like communication are as important as, if not more important than, technical skills. Poor communication can lead to misunderstandings, delays, and even project failure—especially in fast-paced environments like tech startups or agile development teams.

Key benefits of communication assessments:

  1. Improved hiring accuracy: Ensures candidates fit team dynamics.
  2. Better team collaboration: Strong communicators bridge gaps across departments.
  3. Higher client satisfaction: Particularly for roles involving stakeholder interaction.
  4. Reduced turnover: Employees with strong communication skills often adapt better to organizational changes.

Challenges of assessing communication skills

Communication is subjective, making it harder to assess than technical proficiency. Common challenges include:

  • Bias in Interviews: Some candidates may sound polished but lack depth.
  • Overlooking context-specific communication: For instance, a great presenter might struggle with concise written communication.
  • Time constraints: Communication skills can’t always be judged effectively during a standard 30-minute interview.

How to conduct effective Communication Assessments

Here’s how recruiters can design a comprehensive communication evaluation:

1. Define role-specific needs

Different roles require varying levels of communication skills. For instance:

  • A project manager must excel in conflict resolution and stakeholder presentations.
  • A software developer needs to articulate technical ideas and collaborate with teams.

HackerEarth’s customizable assessments allow recruiters to tailor tests for specific roles, ensuring candidates are evaluated against relevant scenarios.

2. Use multi-modal assessments

Evaluate communication across multiple channels:

  • Written tests: Assess clarity and grammar with email or documentation tasks.
  • Video interviews: Gauge verbal fluency, confidence, and body language.
  • Group exercises: Test active listening and teamwork through role-playing or case studies.

With HackerEarth’s FaceCode platform, recruiters can assess verbal and non-verbal communication in real-time. The platform even includes AI-powered analysis for objective evaluations.

3. Incorporate role-playing scenarios

Simulated scenarios, such as mock client meetings or code reviews, provide deeper insights into candidates’ communication styles. For example:

  • A software engineer could be asked to explain a technical concept to a non-technical stakeholder.
  • A product manager might outline a roadmap to a cross-functional team.

HackerEarth’s virtual hackathons can also serve as a testing ground for collaboration and communication under pressure.

4. Evaluate for adaptability

In dynamic work environments, communication adaptability is crucial. Assess candidates’ ability to switch between formal and informal communication or adjust based on the audience.

Key metrics for communication assessment

When assessing communication skills for tech roles, it’s essential to focus on metrics relevant to real-world scenarios. Here’s a breakdown of critical metrics and how they apply to technical teams:

  1. Clarity

Definition: The ability to articulate ideas, technical concepts, or solutions in a straightforward and understandable manner.

Tech example: A software engineer explaining a new API integration to a product manager should avoid overly technical jargon and focus on the key features, limitations, and impact on timelines. Clarity ensures that non-technical stakeholders can make informed decisions based on accurate, digestible information.

How to assess:

  • Ask candidates to explain a complex technical concept (e.g., “Explain the difference between REST and GraphQL”) as if presenting it to a non-technical audience.
  • Evaluate how well they break down ideas into simple, actionable points.
  1. Relevance

Definition: Communicating in a way that focuses on the task or question at hand, without veering into unnecessary details.

Tech example: In a sprint planning meeting, a team lead should concisely address progress, blockers, and priorities, instead of discussing unrelated challenges or hypothetical scenarios. This keeps the discussion focused and productive.

How to assess:

  • Give candidates a scenario, such as responding to a project update request from a stakeholder, and evaluate whether their response addresses the stakeholder’s primary concerns without unnecessary elaboration.
  1. Adaptability

Definition: The ability to adjust communication style based on the audience, whether technical or non-technical, senior executives or peers.

Tech example: A DevOps engineer presenting infrastructure updates to C-suite executives must simplify technical details and focus on cost savings or uptime improvements, whereas the same discussion with their DevOps team would involve detailed configurations and tools.

How to assess:

  • Provide two scenarios: one requiring a technical deep dive and another involving a high-level summary for executives.
  • Evaluate whether the candidate adapts their tone, content, and level of detail appropriately.
  1. Active listening

Definition: Understanding and processing the concerns, questions, or feedback of others before responding.

Tech example: During a cross-functional meeting, an engineering manager should actively listen to a designer’s concerns about a UI constraint and incorporate their input into a feasible technical solution.

How to assess:

  • Conduct mock collaborative exercises where candidates must gather requirements or feedback from others.
  • Observe how well they clarify details, paraphrase concerns, and address specific inputs.
  1. Conciseness

Definition: Communicating necessary information without overloading the listener with excessive details or redundant explanations.

Tech example: A backend developer explaining a database migration plan should focus on key elements—why the migration is needed, the expected impact, and the timeline—without delving into intricate SQL queries unless asked.

How to assess:

  • Include tasks such as writing an email update about a project delay.
  • Evaluate how well the candidate conveys the situation, its implications, and next steps in a short, clear format.
  1. Engagement

Definition: Demonstrating attentiveness, enthusiasm, and emotional intelligence in communication, fostering collaboration and trust.

Tech example: A team lead conducting a code review should provide constructive feedback that motivates developers to improve rather than demoralize them. For instance, instead of saying, “This is wrong,” they could say, “This works, but here’s a more efficient approach we could explore.”

How to assess:

  • Observe candidate interactions in group tasks, such as brainstorming sessions or problem-solving exercises.
  • Assess whether they encourage participation, respond thoughtfully, and maintain a positive tone.

How HackerEarth simplifies communication assessments

HackerEarth is designed to streamline communication evaluations with its comprehensive platform. Here’s how:

  • Role-specific tests with subjective questions: Create assessments tailored to tech roles, integrating communication tasks into coding challenges or technical interviews.
  • Live interviews: Conduct real-time assessments of verbal communication, complete with video recording and playback features for review.
  • Scenario-based tasks: Use built-in tools to simulate real-world situations, such as creating project documentation or presenting solutions.
  • AI-powered insights: Leverage AI analytics for unbiased evaluation of written and verbal communication.
  • Hackathons for team collaboration: Assess communication in collaborative environments where candidates must interact to solve problems.

For example, a recruiter looking for a software engineer with strong cross-functional collaboration skills can use HackerEarth to combine coding challenges with scenario-based communication assessments.

Conclusion

Communication assessments are vital for building high-performing teams, especially in tech-driven organizations where collaboration is key. By focusing on role-specific needs, using multi-modal evaluations, and leveraging tools like HackerEarth, recruiters can ensure they’re hiring candidates who excel both technically and interpersonally.

With HackerEarth’s skill-based approach, recruiters gain a seamless, data-driven way to assess communication, empowering them to make smarter hiring decisions and build stronger teams.

Subscribe to The HackerEarth Blog

Get expert tips, hacks, and how-tos from the world of tech recruiting to stay on top of your hiring!

Author
Nischal V Chadaga
Calendar Icon
December 12, 2024
Timer Icon
3 min read
Share

Hire top tech talent with our recruitment platform

Access Free Demo
Related reads

Discover more articles

Gain insights to optimize your developer recruitment process.

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 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 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.
Top Products

Explore HackerEarth’s top products for Hiring & Innovation

Discover powerful tools designed to streamline hiring, assess talent efficiently, and run seamless hackathons. Explore HackerEarth’s top products that help businesses innovate and grow.
Frame
Hackathons
Engage global developers through innovation
Arrow
Frame 2
Assessments
AI-driven advanced coding assessments
Arrow
Frame 3
FaceCode
Real-time code editor for effective coding interviews
Arrow
Frame 4
L & D
Tailored learning paths for continuous assessments
Arrow
Get A Free Demo