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In Conversation: Colet Coelho, Head of Talent Acquisition, Recruit CRM

In Conversation: Colet Coelho, Head of Talent Acquisition, Recruit CRM

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Ruehie Jaiya Karri
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March 24, 2022
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3 min read
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Hire IQ by HackerEarth is a new initiative in which we speak with recruiters, talent acquisition managers, and hiring managers from across the globe, and ask them pertinent questions on the issues that ail the tech recruiting world.

Next up in this edition is Colet Coelho, Head of Talent Acquisition, at Recruit CRM. Being Women’s History Month, we wanted to understand the diversity mandates at Recruit CRM and more importantly, as a woman in tech, what would Colet like to change for welcoming more of such awesome women into the tech recruiting space.

Settle in, and let’s get to it!

P.S. If you missed the first edition of HireIQ where we sit down with Charles Rue from IHS Markit, you can read it here 🙂

HackerEarth: A lot of recruiting jargon has made headlines in the last two years. Candidate experience, remote hiring, employee burnout, and of course the ‘Great Resignation’. If you had to pick one jargon/phrase to attach to the future of ATS platforms, what would it be and why?

Colet: If I had to pick a jargon out of the mentioned, I would pick two—candidate experience and remote hiring. The candidate experience we design reveals a great deal about who we are as an employer. Prospective workers will judge our company based on their experience with the recruiting process, and a negative applicant experience will discourage future job seekers from applying.

Although, providing an excellent candidate experience can be a problematic aspect of the remote hiring process. Enhancing the overall candidate experience in remote recruitment is a vital function of an Applicant Tracking System. ATS platforms automate hiring while streamlining this entire process.

Recommended read – Remote Work And Recruitment: An ATS Story

HackerEarth: How have your internal hiring policies changed in the last two years? Since DEI has been a priority in the tech world, have you initiated any new processes for improving inclusion at your workplace?

Colet: Our hiring policies have been pretty consistent. Since we have always been a remote functioning organization, the last two years haven’t affected our recruitment methods too much.

Our organization has a fair distribution of employees from different backgrounds, ethnicities, and locations spread across the globe. We host regular meetings with all our employees where everyone is heard and allowed to present their views forward.

To create an inclusive culture, starting at the very beginning is critical. We preach, advocate, and encourage inclusivity as an essential component of our organizational principles. We’ve started sharing it on our social media, websites, and in interviews so that any potential employee is aware of our inclusion goals.

We have also begun to streamline the recruiting process by enabling candidates from various community outreach initiatives, job fairs, and hiring consultants to participate. This guarantees that we have a varied range of abilities.

Inclusion at the workplace is pointless if people are not valued for who they are.

The pronouns that a person prefers are entirely up to them. We will begin to include a section on the pronouns employees prefer on their identity cards. In addition, we will guarantee that all of our job descriptions include gender-neutral language.

HackerEarth: As a woman in the tech recruiting space, what are some of the changes you would like to see in how companies attract talented women? How about expanding the conversation to include the non-binary community, and if yes, then how can recruiters begin to do that?

Colet: Flexibility is one of the top perks a firm can offer an employee, not just to women but also men. As a woman in the recruitment sphere, I’d like to see companies offer women more flexibility regarding where, when, and how they work.

Flexibility for women in tech

To attract non-binary candidates, recruiters can start by allowing a range of pronouns in different areas. Leaving gender boxes unfilled or providing the opportunity to add additional gender or pronoun categories in both paper and online HR forms/platforms will encourage non-binary employees to apply as well as feel like they belong in the workplace.

HackerEarth: Data has become an important tool for recruiters today. In your opinion, what do you think are the three most important markers/data points that recruiters should be looking at when hiring? Additionally, do you think there is a data point that recruiters are overlooking?

Colet: The three most important data points that recruiters should always consider are quality of hire, cost-per-hire, and time-to-hire.

While assessing hiring quality might be subjective, it is probably one of the most critical criteria to monitor. Poor performance can indicate that you have an individual performing the wrong job, regardless of how quickly you fill a role or how much you lower the hire cost.

The cost per hire is simply the money spent on recruiting in a given year divided by the total number of hires made. The recruiting costs vary for every organization, so it’s a good idea to benchmark the typical expenditures for various jobs in your firm. The time-to-hire metric measures how fast an applicant progresses through the various phases of the recruiting process.

The total amount spent on recruitment in a given year divided by the number of recruits is the cost per hire. Again, the recruiting expenses differ from one organization to the next. Therefore, it’s good to benchmark the average expenditures for various roles inside your company.

Data points to improve your tech hiring process

A critical marker that recruiters occasionally tend to neglect is the source of hiring.

Knowing where your best candidates and applicants are coming from is quite helpful, especially when it comes to recruitment marketing. With this indicator, you can discover those sources and channels that bring in the most qualified candidates for your available positions.

Recommended read: The Great Resignation In The Tech Industry – How To Prevent it

HackerEarth: One of the questions we love asking tech recruiters is – when it comes to skills versus experience, what would you choose and why? What are some of your trusted markers for a skill that you would use to gauge a developer’s competency when hiring?

Colet: While I’m constantly emphasizing soft and hard skills as a recruiter, I can’t ignore the importance of work experience to evaluate a candidate. Therefore, when I search for an ideal candidate, I am looking for a combination of the right personality, soft skills, technical or hard skills, and practical industry experience.

Although, a lack of corporate experience is not an indicator of poor potential, especially when hiring youth. The ability to work in a team structure, make decisions and solve problems, communicate verbally with people inside and outside an organization, and plan, organize and prioritize work are skills I focus on evaluating when hiring.

My usual evaluation method is looking at past projects and giving real-time assignments to measure a developer’s expertise when recruiting.

HackerEarth: Let’s talk a bit about workplace culture 🙂 In the era of hybrid, how do you suggest companies can keep up employee morale and boost engagement?

Colet: I truly believe that open communication and prioritizing employee well-being are the way to maintain morale at work. Honest communication facilitates trust, and employees who have faith in their supervisors to act in their best interests are less stressed during times of transition and uncertainty. Considering employee mental health is also a critical factor in ensuring high morale, especially concerning feelings of isolation and the rising risk of burnout.

Ultimately, leaders cannot just guess or intuit what would make staff feel the most upbeat and engaged. They are the only ones who can tell you what works for them.

So I suggest that companies solicit constant input from employees through employee engagement surveys to gather personal knowledge and then develop a curated strategy that tailors efforts to people’s preferences and requirements.

HackerEarth: Recruit CRM also helps companies with sourcing. What are some non-traditional modes of sourcing you have seen your clients use in the recent past that you think have great potential? Alternatively, do you think there are untapped platforms that tech recruiters can use to their advantage?

Colet: I’ve seen clients use quite a few non-traditional methods of sourcing that have turned out to be quite the successes. For example, sourcing through social media and Boolean searches. Social networking has evolved into one of the most effective tools for hiring today. LinkedIn, Github for developers, and Behance for creatives are the most well-known professional platforms.

However, popular social media platforms such as Facebook, Twitter, Instagram, and Snapchat are valuable tools. I feel like Quora and YouTube are two such platforms that haven’t been tapped by recruiters yet but can prove to be of great help in finding potential employees.

Recommended read:Boolean Search Strings – 5 Essential Tips For Recruiters

HackerEarth: And lastly—a piece of advice for recruiters around the globe to navigate the pandemic-induced ups and downs of the recruiting business.

Colet: The last two years have been tough on recruiters. The pandemic and its consequences decimated some talent acquisition teams, piled additional pressures on others, and proved to be a historic change agent, as virtually recruiting and onboarding a remote workforce became the norm for many.

Since virtual hiring is here to stay, I would advise recruiters to focus on making virtual recruitment as streamlined and fine-tuned as possible using an ATS. In addition, a common challenge resulting from the pandemic is the difficulty in filling job openings.

The difficulty in getting applications is an excellent opportunity for some clever employer branding.

Take advantage of this chance to establish your employer brand and set your organization out of competition. Address the main worries of your present workers and future applicants by assuring them that your firm is solid and helpful.

Colet Coelho

About Colet Coelho:

Based out of Mumbai, India, Colet heads the Talent Acquisition team at Recruit CRM, aiming to bring the best talent onboard and scale the current team of 50 to over 150 in the next 2 years. Here is her LinkedIn.

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Author
Ruehie Jaiya Karri
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March 24, 2022
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3 min read
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Vibe Coding: Shaping the Future of Software

A New Era of Code

Vibe coding is a new method of using natural language prompts and AI tools to generate code. I have seen firsthand that this change makes software more accessible to everyone. In the past, being able to produce functional code was a strong advantage for developers. Today, when code is produced quickly through AI, the true value lies in designing, refining, and optimizing systems. Our role now goes beyond writing code; we must also ensure that our systems remain efficient and reliable.

From Machine Language to Natural Language

I recall the early days when every line of code was written manually. We progressed from machine language to high-level programming, and now we are beginning to interact with our tools using natural language. This development does not only increase speed but also changes how we approach problem solving. Product managers can now create working demos in hours instead of weeks, and founders have a clearer way of pitching their ideas with functional prototypes. It is important for us to rethink our role as developers and focus on architecture and system design rather than simply on typing 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.
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