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What is Diversity, Equity, and Inclusion (DE&I) At The Workplace?

What is Diversity, Equity, and Inclusion (DE&I) At The Workplace?

Author
Swetha Harikrishnan
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September 16, 2021
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4 min read
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Figuring out the ins and outs of as broad a subject as diversity, equity, and inclusion (DE&I) can be tough. You could be chasing the wrong goals too. And as someone who has worked at places that had zero education and sensitization on this subject, I know firsthand the hit their workplace culture would take.

I am passionate about creating awareness around diversity, equity, and inclusion, which is why I am very vocal about my learnings on this journey. While there never is a one-size-fits-all solution to any problem, there are some actionable hiring tips to ensure that DE&I at the workplace is a priority and also that it is done right.

Here’s my take on how best to embrace your journey with open arms. #DEI 101, let’s go!

7 step framework for DE&I at the workplace

Diversity Statistics Infographic
  • Breaking the stereotype for diversity equity and inclusion in the workplace

Going back to the basics, diversity refers to building a multicultural workplace with people and minorities from different backgrounds. You foster inclusion by making people feel like they belong and that they can bring their whole self to work. Simply put, diversity is the mix. Inclusion is making that mix work.

Equity recognizes that the needs of different people are different and focuses on providing opportunities and resources for equal participation without bias, harassment, or discrimination of any kind.

In 2021, it is high time we break the stereotype that hiring for diversity where there is a visible representation of minority groups will naturally ensure that inclusion will follow. My personal learning – don’t run behind the mix. Make your workplace culture inclusive for the people inside your organization. It’s basically about providing a space of ‘psychological safety’ for people. Diversity of thought will organically follow.
  • Embedding inclusion into the DNA of your company

The first step in your DEI journey is to understand if your company needs it or not. And then go on to the ‘how’ of it. Some food for thought –

  1. Why are you doing this: What makes you want to be diverse & inclusive?
  2. Inclusion is personal: What does I&D mean personally to you, as a company?
  3. Analyze your I&D growth so far: Where do you stand today?
  4. The desired goal of your strategy: Where do you want to be? Visualize the end outcome & state.
  5. Final question: Ah, do you still want to do it?

Recommended read: Talking #BlackLinkedIn and DEI with Patricia Gatlin

I think the message that I’m trying to leave you with, is that it’s important to spend time on exactly why you want to do this. And to check in with the above questions and see if you still want to do this. If you’re choosing to be inclusive, then make it impactful, genuinely, not just for the sake of it. Otherwise, don’t waste your time.
  • HackerEarth’s DE&I strategy is a must-have. Not a to-do

At HackerEarth, we believe inclusion is personal and start the dialogue from there. It’s not something we do as a one-off on special days – we invest in giving our people the correct language to use; we ask them to call out behaviors that are not ok, and educate and sensitize others towards these behaviors. We believe in educating people on ally-ship and support – and not educating them only on the marginalized groups.

In this company, inclusion is everyone’s responsibility – not just a mandate for HRs, or the top management. With my experience, I can tell you that it is possible to build such inclusive workplaces, but it needs heart. And a lot of effort. And nope, there is no one size that fits all.

Recommended read: How To Build Safe And ‘PROUD’ Workplaces – A Personal Story

  • Measuring your DE&I efforts at the workplace

Targets and metrics for your DEI journey can make for great indicators of progress if used wisely. The minute you look upon them as your be-all and end-all, your journey can become severely crippled.

I’ve personally seen metrics limit people from creating a larger impact. People get hung up only on meeting those numbers. What you end up doing then – creating a diverse team, on the short term and miss creating an inclusive culture, for the long term.
  • Key to an inclusive leadership

What is the role of a CEO and any company’s management team on this journey? They play a significant role in making their employees feel like they belong. That they are respected and treated fairly.

According to the Harvard Business Review, a leader’s awareness of personal and organizational biases is the most important trait in generating a sense of inclusiveness in the workplace. Read more about the signature traits of inclusive leadership and how leaders can put these traits into practice in this insightful article.

I’ve been a firm believer of not holding only the ‘leaders’ responsible for anything and everything in a company. I strongly believe that inclusion is something that will fall flat if the CEO/leaders/ of a company do not visibly and authentically commit to and be a role model for their employee to follow suit.

HackerEarth has an inherently non-judgemental culture, which appears as if it is entirely natural without too much work going into it. That is not the case of course. Inclusion is at the heart of everything we do as a company; we have expanded our umbrella over time to touch upon topics that most of us were taught to shy away from.

It is not a one-time activity to do and then dust your hands off but more of a process that needs to be carefully woven into the threads of your company.

What is Diversity, Equity, and Inclusion in the workplace?

Diversity in the workplace

Diversity in the workplace refers to the presence of individuals from various backgrounds, demographics, and perspectives within an organization. It encompasses differences in race, gender, age, ethnicity, sexual orientation, abilities, and more. Diversity recognizes that each employee brings unique experiences and talents to the table, enriching the collective knowledge and creativity of the workforce.

Equity in the workplace

Equity in the workplace is the commitment to fairness and impartiality in all employment practices. It ensures that everyone has equal access to opportunities and resources, regardless of their background or circumstances. Equity strives to rectify historical and systemic disparities by addressing biases and leveling the playing field, ultimately fostering a more just and inclusive work environment.

Inclusion in the workplace

Inclusion is the active effort to create a work culture where all employees feel valued, respected, and empowered to contribute their best. It goes beyond mere diversity by fostering an environment where diverse perspectives are not only welcomed but also integrated into decision-making processes and daily operations. Inclusion is essential for harnessing the full potential of a diverse workforce and promoting a sense of belonging among employees.

This is one of the reasons why I decided to keep an open dialogue going to exchange thoughts, opinions, and ideas from different perspectives on my LinkedIn channel. Now that you have an initial framework for your DE&I strategy to work with, let’s talk about positive discrimination next. Watch this space for the second part of this blog series.

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Author
Swetha Harikrishnan
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September 16, 2021
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4 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 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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