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D&I lessons to learn from top global organizations

D&I lessons to learn from top global organizations

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Ashmita
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March 10, 2020
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6 min read
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Today, diversity and inclusion is one of the biggest challenges facing the tech industry. The tech world has been talking about D&I for decades. There are books, podcasts, panels at conferences, and so much more dedicated to the topic.

Yet, the numbers are still quite discouraging. According to studies, only 20 to 25% of entry-level technical jobs are filled by women.

The adverse effects of technology bias are already being seen. Research shows that most facial recognition software can identify white faces quickly, but can’t consistently identify people with other skin tones. This is because those algorithms are trained on data that features primarily white faces.

Companies worldwide are looking to tackle the issue of diversity hiring in tech, but very few have made strides in the right direction. Hence, we have handpicked the following top 4 lessons from global companies to help you promote a diverse and inclusive workforce.

Lesson 1: Build products with everyone and for everyone

Organization in focus: Google

“When communities are underrepresented in our workforce, they can be underserved by our products. Business and product inclusion is the intentional practice of designing products and services for a diverse range of consumers and communities by better understanding their unique needs. The goal is a better user experience and accelerated business growth.” —Google diversity annual report 2019

Diversity and inclusion are business imperatives for Google. The organization believes that D&I improves outcomes for its employees, products, and users. Here are a few D&I lessons that we can learn from the world’s most renowned multinational technology company.

  • Google offers inclusive design and engineering training as part of its onboarding curriculum for new tech hires on its New York and Mountain View campuses. All employees of Google residing anywhere in the world can participate in it.
  • Google works with external partners to improve its products for everyone. For example, as part of the Grow with Google program, Digital Coaches at Google host workshops, working with women- and minority-owned businesses that are part of Google’s Supplier Diversity program. The organization collects user feedback from communities to build products with inclusion in mind. Additionally, Google spent $400 million on businesses owned by people from underrepresented groups in 2018.
  • Google offers online crowdsourcing platforms to encourage anyone and anywhere to help improve the inclusivity of the organization’s products. For instance, Project Respect helps create more inclusive AI algorithms in line with Google’s AI Principles. Also, at Accelerate with Google, the organization “open sources” research, best practices, and guidance on inclusive design. This brings an inclusive lens to the design process for all its products, making the organization user-centric.

Lesson 2: Use empathy to lead innovation

Organization in focus: Microsoft

“Technology can empower people to achieve more, help strengthen education opportunities, and make the workplace more inviting and inclusive for people with disabilities. And with more than one billion people with disabilities in the world, Microsoft believes accessibility and inclusion are essential to delivering on our mission to empower every person and every organization on the planet to achieve more.”—Jenny Lay-Flurrie, Chief Accessibility Officer at Microsoft.

Microsoft believes that diverse and inclusive companies are not only more profitable and innovative but also fair well in retaining top talent who can meet the requirements of customers from a wide range of communities. The better organizations represent global diversity internally, the more prepared they are to innovate everywhere, for everyone. Here are a few products that Microsoft built to promote a diverse and inclusive environment, not just internally but around the globe.

  • Microsoft holds its annual internal hackathon every year. The event invites and encourages employees at Microsoft to work on pet or experimental projects and present them to their colleagues for feedback. In 2016, a small crew of designers built the first prototype for the Xbox Adaptive Controller. The aim was to build a gamepad for people with limited mobility. That core team continued to work on the project and launched the Xbox Adaptive Controller in 2019. The game controller has inspired a number of people to build hardware and software features that let gamers with physical disabilities play the games they love.
  • Blur was developed by Swetha Machanavajhala, a software engineer at Microsoft who has been deaf since birth. Blur is a feature within Microsoft Teams and Skype that obscures the background in video chats. The technology was borne out of Swetha’s frustration during video chats with her parents in India, when bright lights behind them made it hard for her to read their lips. Also, the background-blurring feature turned out to be useful for privacy reasons as well, helping to hide curious café customers during job interviews or messy offices during video conference calls.
  • The Seeing AI app developed by Microsoft reads documents and menus, identifies currency, and recognizes people for users with disabilities. It is also useful for sighted people who need to extend their field of vision in challenging environments.

Lesson 3: Empower diverse entrepreneurs

Organization in focus: Amazon

“Diverse and inclusive teams have a positive impact on our products and services, and help us better serve customers, selling partners, content creators, employees, and community stakeholders from every background. We are constantly learning and iterating, whether through central programs or work within our business teams, through programs that are local, regional, and global.”—Amazon

Amazon’s mission is to be the world’s most customer-centric organization, with diversity and inclusion being the center of it all. Amazon enables its creators, builders, and sellers from around the globe to follow their passion and find their best future, without extensive capital or networks. Here’s how Amazon helps technologists, entrepreneurs, and authors from around the world through its products and services:

  • Through We Power Tech , Amazon programs with partners with over 70 organizations around the globe. The aim is to provide access to AWS credits and learning modules and support the underrepresented communities in tech. We Power Tech organizes workshops and events to support founders and entrepreneurs who are people of color, women, people with disabilities, or from the LGBTQ community.
  • The Amazon Business credentialing program enables veteran-owned, women-owned, minority-owned, and LGBTQ-owned small businesses to promote their products. Customers can shop at storefronts that support women-owned businesses, and the Amazon Saheli Store that displays products built by women supported by NGOs in India.
  • With publishing options in 40 languages, Kindle Direct Publishing (KDP) enables more than one million authors to publish their books globally. To encourage more people from different ethnic backgrounds to access Amazon’s services for authors and content creators, the organization promotes content creation tools at events like the AfroTech and the Congressional Black Caucus.
  • Amazon is intentionally incorporating content representing a variety of communities on its platforms. For instance, for Pride 2018, AMazon featured more than 60 official feature films from the Outfest LGBTQ film festivals on Prime Video. In 2018, Amazon content was awarded the ReFrame TV stamp for gender parity.

Lesson 4: Embed diversity with smart HR analytics

Organization in focus: SAP

“A rich and diverse ecosystem drives innovation and allows us to better serve our customers. We will leverage technology for inclusion, ensure our tools are accessible, and build a diverse and inclusive tech ecosystem across the entire supply chain of supplier diversity to consumer experience.”SAP

SAP measures its progress in the areas of supplier diversity statistics, management position data for underrepresented minorities and women, and attrition and retention rates by using technologies such as Machine Learning (ML), Artificial Intelligence (AI), and Internet of Things (IoT). Here’s how SAP leverages technology to build a diverse and inclusive workforce:

  • SAP uses the Job Analyzer to integrate D&I considerations into key talent management decisions. The tool helps managers and recruiters to make gender-fluid job descriptions. This results in a richer, expanded candidate pool, which, in turn, helps business leaders to reach the most qualified candidates for every position.
  • The SAP SuccessFactors Calibration tool helps managers evaluate the performance management process without bias. Instead of potentially being swayed by unconscious bias when making a decision about employees because of their photo, the tool replaces the photo with a generic icon.
  • Functionalities within the SAP SuccessFactors Succession & Development solution enable HRs to match mentees and mentors based on competencies and skills to ensure that mentoring is equitable and inclusive.
  • Data analysis capabilities within the SAP SuccessFactors Workforce Analytics solution helps SAP highlight areas where D&I targets are not being met. The organization can visualize and forecast D&I trends and give executives a greater insight into its D&I efforts.

What HackerEarth does to promote a diverse and inclusive workforce

At HackerEarth, we do not treat diversity and inclusion as a separate to-do list. It is imbibed in everything we do, starting from hiring people with diverse skill sets or having someone from the LGBTQ+ community as a BU head. Not only that—we encourage all employees to speak out and challenge any out-of-date processes or practices. We hire based on skills and not pedigree and transparency is at the forefront of every managerial decision made. Additionally, our platform helps recruiters and hiring managers conduct fair technical assessments by cutting bias out of the process. We enable them to assess candidates solely on their programming abilities. We reduce bias even further by masking candidate information and evaluating them on the one thing that matters—their coding skills. Since our inception, we have implemented more structure, purpose, and impact around these efforts to foster meaningful and valuable employee engagement experiences.

If you care about diversity, we’d love to entertain a conversation. Contact us to learn more about how you can jumpstart your team’s diversity by leveraging our platform. Our email is always open: support@hackerearth.com

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Author
Ashmita
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March 10, 2020
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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 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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