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Episode 1: How to drive inclusive hiring in tech ft. Orange Is the New Black

Episode 1: How to drive inclusive hiring in tech ft. Orange Is the New Black

Author
Soumya Chittigala
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January 30, 2020
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7 min read
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Welcome to #NetflixandHire where we learn some great tech hiring lessons from popular TV shows. This episode is focused on inclusive hiring. Over the course of the next 4 episodes, you’ll learn 4 ways in which you can successfully screen and hire developers in 2020. Buckle up, here we go!

2018 and 2019 brought about a surge of revelations in workplace equality with the #MeToo movement, the gender pay gap disclosure, Silicon Valley’s struggle with diversity and unconscious bias, among others. Things seem to be gearing up in 2020. Companies are now working toward drastically driving inclusive hiring in the workplace.

We thought this would be a great topic to cover in our maiden episode of #NetflixandHire and what better show to learn about inclusion than Orange is the New Black!

This comedy-drama takes place in a women’s prison, and thanks to its plots, it puts a diverse set of women at the forefront. The show ended up being one of the most-watched original series on Netflix. No wonder it won an Emmy, a Golden Globe, the GLAAD awards, and the Peabody awards.

Driving inclusivity in the workplace

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Diversity in tech is not just about gender. It is your responsibility to ensure that hiring takes place regardless of age, gender, race, religion, ethnicity, or sexual orientation. Here are 3 lessons we can learn from Orange Is the New Black to make this happen:

1. Strength lies in differences and not in similarities

The show embraces ethnicity like no other. Remember the fiery Russian Red, the entire Black cast ..Poussey, Taystee, etc., and the Hispanic gang of Maritza, Daya, and the others? The beauty of the series is it never overshadows one story over the other. Each character is given the screen space they deserve and issues of race and caste are discussed head-on.

Driving inclusivity in the workplace

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Inclusive hiring is no different! As a recruiter, you hold the onus of promoting diversity by ensuring a fair hiring process. You need to reassure future employees that you have their best interests at heart. Also, at an organizational level, you prepare your current employees on how to appropriately interact with different people. Overall, you need to create a welcoming workplace.

Here are some initiatives by companies we absolutely admire for being flag bearers of tech inclusion:

Driving inclusivity in the workplace

Since 2015, the company has proactively sought out candidates from outside traditional developer pipelines such as Stanford and MIT. It has also focused on recruiting tech talent from all women’s coding camps such as Hackbright and programs that focus on training black and Latino programmers such as Code2040.

Driving inclusivity in the workplace

Intel has made the largest-ever commitment to invest in technology companies led by women, underrepresented minorities (African Americans, Hispanics, and Native Americans), startups led by entrepreneurs with disabilities, US-based entrepreneurs from the LGBTQ community, and US military veterans. Through September 2019, the Intel Capital Diversity Initiative has invested $381 million in companies led by diverse teams.

Driving inclusivity in the workplace

Buffer uses its blog as a medium to explore issues in tech which affect underrepresented groups. The company also regularly modifies its job descriptions to include language and images that support inclusive hiring. They also sponsor awesome initiatives such as POCIT‘s Beer and Boardgames event and #wocintech‘s awesome photos.

2. Freedom of expression

The first character that comes to our mind when we talk about freedom of expression with respect to the show is Suzanne, aka ‘Crazy Eyes’. Suzanne is portrayed as an intelligent woman, but someone who lacks social skills and is prone to spiral into emotional outbursts when agitated due to mental illness. The show is special because it never takes away from a character’s uniqueness, even if it’s someone like Suzanne. It lets her express emotions the way she wants to, be it in the form of writing a book or reciting Shakespeare’s sonnets.

Driving inclusivity in the workplace

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Isn’t that the whole essence of inclusive hiring? Letting candidates express their skills the way they want to help both ways —you get to see the most genuine side of candidates without putting the candidate under pressure.

But are we actually providing candidates with the means to give it their all in the tech hiring process? We think not. Take the example of a whiteboard interview in which candidates are asked to solve a coding problem in real-time. The important thing to consider is that a whiteboard is not a code editor. Candidates can’t actually run the code to see if it works, let alone benchmark it.

We suggest you opt for an anonymous coding assessment instead. This is a take-home coding test that candidates can take in an environment of their choice. It also gives candidates a chance to take the test by masking all personal identifiers. This helps eliminate bias and assures that candidates will be judged fairly. Also, since all candidates face the same set of questions, it is less likely to introduce biases that could filter out good candidates.

Create a take-home coding test for free

3. Inclusive hiring is more than just a checkbox

Are you hiring just to complete a mandate? Or does your definition of diversity hiring only mean hiring more women? It’s about time we understood that diversity is much more than that. It is the range of differences that make people unique, both seen and unseen, and this is where we get to the third lesson that we’ve learned from Orange Is the New Black—Sophia Burset’s story.

Driving inclusivity in the workplace

Img source

Though the show is about women inmates, it never leaves out people based on how they identify themselves. Sophia, a transgender inmate, is given equal screen presence as anyone else and delivers a moving and hilarious performance. In fact, after the show aired, she became the first transgender person on the cover of the TIME magazine in 2014 and has used her story to empower others.

Sophia is not the only one. The show served as a platform for several people from the LGBTQ+ community to share their stories and bring more visibility to the group.

Wouldn’t it be wonderful if we could do something similar in tech hiring?

Here are some initiatives we can all be inspired by:

Driving inclusivity in the workplace

Lesbians Who Tech is a community of over 15,000 queer women, with a mission to increase visibility in tech. It has partnered with the White House LGBT Tech and Innovation Summit to empower participants by connecting them with the Federal government information, resources, and opportunities. Additionally, it conducts three annual conferences, facilitating coding scholarships and hiring opportunities. It runs a cool new mentorship initiative called ‘Bring a Lesbian to Work Day’, a one-day shadow program with a mission to match a queer woman with a mentor.

Driving inclusivity in the workplace

Out in Tech encourages underprivileged LGBTQ+ to pursue tech internships and post-secondary training by giving access to careers held by their heterosexual counterparts. The community actively works with companies to change workplace dynamics by helping evaluate diversity and inclusion.

Driving inclusivity in the workplace

Microsoft Pride is Microsoft’s initiative for pushing the LGBTQ+ inclusion forward. It was one of the first corporations to include “sexual orientation in their corporate nondiscrimination policy” and “offer employee benefits to same-sex domestic partners.” It also urges employees to be more vocal about the actions that they are taking. By the way, you can download some cool LGBTQ+ buttons from their website.

Driving inclusivity in the workplace

Started by Angelica Ross after being shut out of the professional world, TransTech Social Enterprises seeks to empower, educate, and employ transgender and non-gender conforming people in tech. It offers tech workshops, peer coach training, study buddies, and graphic design and web development apprenticeships. It also offers job placements through its in-house design studio and remote learning opportunities.

We hope 2020 kicks off a culture-first decade with inclusivity being at the center of it all. Here’s to a vibrant and diversity-fuelled hiring process in the months to come. See you soon in the next episode!

Driving inclusivity in the workplace

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Author
Soumya Chittigala
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January 30, 2020
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7 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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