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Guide To Creating Candidate Personas For Tech Teams

Guide To Creating Candidate Personas For Tech Teams

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Kumari Trishya
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October 28, 2021
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6 min read
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Hiring in the post-pandemic world is harder than ever. As recruiters, you would have already heard about the Great Resignation, and how tight the job market is. Given that this climate is unlikely to change anytime soon, recruiters still need a surefire way to sift through the clutter and find the right candidates. In such times, maybe it’s not a bad idea to go back to the drawing board and redefine ‘who’ you are looking for. Why? Because knowing your audience is a critical factor in any recruiting strategy, especially when it comes to tech. And we all know that the audience has changed in many ways since the Big C happened to our world. Also, writing down goals has been shown to be intrinsically linked with higher success rates, making you anywhere from 1.2 to 1.4 times more likely to accomplish said goals. So, if you are looking to hire the best and the brightest, writing it down in words (or candidate personas) could actually help you hire better. All on board? Let’s begin!

What is candidate persona?

A candidate persona is a semi-fictional representation of your ideal job candidate. It’s developed based on a combination of data and research, encapsulating the skills, experiences, motivations, and attributes of a person who’d be a perfect fit for a specific role within your organization. Much like customer personas help marketers identify their target audience, candidate personas aid recruiters in streamlining their hiring process, ensuring that their efforts are directed towards attracting, identifying, and engaging the most suitable talent for the role.

By understanding and defining a candidate persona, companies can craft more effective job descriptions, target their recruitment advertising more accurately, and enhance the overall hiring experience to appeal to their ideal candidates.

Characteristics to include when creating candidate personas

Demographics: This includes details like age, gender, educational background, and experience level. While these aren’t definitive indicators of a candidate’s fit, they can offer general guidance about where to find potential candidates or what life stage they might be in.

Skillset: Detail the technical and soft skills that the ideal candidate would possess. This not only includes job-specific skills but also transferable skills that might be beneficial to the role.

Professional background: Outline the industries, roles, or companies where the candidate might have previously worked. This provides context to their experience and familiarity with certain work environments.

Motivations: Understand what drives the candidate—whether it’s career growth, work-life balance, a passion for a particular kind of project, or values alignment with a company’s mission.

Career goals: Highlight the aspirations or long-term objectives that the ideal candidate might have, helping to align the role’s potential with their personal and professional growth.

Cultural fit: Describe the cultural attributes or company values that resonate with the ideal candidate. This could relate to collaborative tendencies, innovation, work ethics, or other cultural facets.

Challenges & pain points: Identify common challenges or issues that might dissuade them from joining or staying in a role. This could be things like limited growth opportunities, lack of challenging projects, or a preference for remote work.

Preferred communication channels: Recognize where your ideal candidates spend their time, whether it’s on professional networks like LinkedIn, job boards, industry-specific forums, or even at offline events.

Personality traits: Delve into the softer aspects, like whether they are self-starters, how they handle feedback, their preferred work environment, or their teamwork style.

Step by Step Guide To Creating Candidate Personas

Step 1: Understanding Developer Candidate Personas

Marketing and sales divisions have been using personas to define their ideal buyer for a very long time, especially in strategies like B2B lead generation. This approach helps them understand their audience better and tailor their messaging for maximum impact. Developer personas are an off-shoot of this oft-used strategy; with a few tweaks and changes to make it engineering-friendly. Building developer candidate personas lets recruiters visualize a fictional representation of the ideal candidate for each role. Creating personas lets recruiters get into the mindset of the candidate and tailor the hiring process from the applicant’s viewpoint. This has a direct effect on enhancing the candidate experience. Mostly though, creating developer personas is a great way to understand the ‘why’, ‘who’, ‘what’, and ‘where’ of tech hiring.

Sidebar The credit for creating ‘personas’ to identify customers rests with Alan Cooper, a noted software developer. He created ‘user personas’ to predict how different users would interact with software. Angus Jenkinson, a professor of integrated marketing, then took the concept and applied it to marketing. His technique was adopted by OglivyWorldWide and became the gold standard for defining buyer personas as we know them now.

Step 2: Why We Need Candidate Personas

Designing and understanding developer candidate personas helps you do the following:

Create tailor-made JDs: As noted above, once you understand your candidate’s mindset, it becomes easier to tailor your hiring process to attract the right talent. Beginning with the job description.

Optimize recruitment marketing and sourcing: Understanding who you are targeting for a given role will give you better insight into where you can source them. You can curate your recruitment marketing strategies better in this instance.

Integrate diversity hiring initiatives into the process: Building developer personas also helps you identify gaps in diversity hiring, and allows you to build relevant initiatives into your process.

Improve recruitment metrics: Data says that recruiters spend a minimum of 13 hours per week sourcing for a single role. When you have your developer personas mapped out, you can significantly reduce the time spent in sourcing. Over time, you will also see a marked improvement in other recruitment metrics like Time To Hire, Quality of Hire, Offer Acceptance Rate, and so on.

Read More: How Engineering Managers Can Help Recruiters Hire Better

Step 3: Creating A Developer Candidate Persona

The research While you may think you know what a tech role entails, have you ever sat down and done any research to understand what exactly it is your team needs in the next hire to boost performance? Begin by sitting down with relevant stakeholders and learn the details of the role you are hiring for. Understand what a workday looks like for this specific employee, and then add it to your JD. Remember to ask questions about the following:

    • Who is our ideal candidate?
    • Where does this person operate?
    • Why would they want to work for our organization?
    • What kind of experience are we hiring for?
    • What will this employee’s typical workday look like?
    • Are there any specific skills this candidate should have? In addition, what are the core skills and the adjacent skills required for this role?
    • Are there any geographical limitations for hiring?
    • Is it necessary that this candidate have an online presence? If yes, then where should I be looking?
    • Is there a list of competitor employers?

Boost your social recruiting efforts with this cheat sheet. Get your copy today!

The skill set It is very important to understand the skill set required for any tech role. We said it above, but it begs repetition. There are some core skills that every developer must possess. Problem-solving, critical thinking, communication skills, and proficiency in the core languages like JAVA and C++ come to mind. There are adjacent skills which a developer can easily pick up on the job, provided they are adaptable and happy to learn new things. Mastering ten different languages is a prime example. It is NOT necessary that your ‘ideal candidate’ be a pro at everything. Your JD should NOT be a dump of requirements that no human can possibly fulfill. Instead, break it down into Must-Haves and Can-Learns and use this to define your personas.

Tech Hiring Must-Have Skills

The behavior When hiring someone for a role, recruiters often look at the longevity of the candidate in their company. This can be predicted (to a certain extent) by charting an ideal employee’s behavior traits. Some of these might overlap with the research you did earlier, but it’s never bad to be doubly sure! When adding these subjective elements to your developer persona, ask these questions:

    • What motivated them to apply for this role?
    • Do they have goals this role will help fulfill?
    • How do they best communicate with others?
    • What kind of work environment is best for their work style?
    • What’s most important to them (i.e., salary and benefits)?
    • What’s less important to them (something that often varies by generation)?
    • What do they want from their employer (their strengths, brand recognition)?

The PERSONA Yes! After all that research and brainstorming, it is now time to build your candidate’s persona. Below is a template for defining your candidate persona. You may not be able to answer all of these questions, but the more you answer the better you can adjust your recruiting campaigns and efforts. Click Here For Free Template

And There You Have It!

Once you get the first few personas down, creating additional personas for each new opening will become second nature. You can even get creative with the process. The more candidate personas you are able to define, the easier it will become to navigate the tech recruiting landscape. Personas help not just in terms of bettering your sourcing efforts, but also in shaping other top-of-funnel recruiting activities like advertising, employer branding, awareness, and candidate engagement. We use this persona-creating technique for all our in-house hires, and we can vouch for its effectiveness! We hope this guide helps you create developer candidate personas for your tech team, too. Happy hiring.

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Author
Kumari Trishya
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October 28, 2021
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6 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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