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7 Ways To Reduce Burnout In Your Tech Teams

7 Ways To Reduce Burnout In Your Tech Teams

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Ruehie Jaiya Karri
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May 10, 2022
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6 min read
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The pandemic has resulted in a new kind of workplace burnout—making employee well-being more critical than ever. An Indeed survey reports 67% of all workers believe the pandemic has worsened burnout.

Paradigm shifts across all industries in how they work, post-COVID, and an unprecedented talent shortage due to the Great Resignation are sure-fire indicators of employee burnout.

Tech leaders around the world are asking themselves how to avoid burnout at work—how to cope with short-staffed tech teams, long task lists, tight deadlines, and the added pressure of adapting to the relatively new model of hybrid work.

Burnout has become synonymous with tech-related jobs and it doesn’t have to be. It is strongly influenced by how employees are managed and is preventable when you focus on the right factors.

In this blog, let’s reflect on the causes and consequences that come with workplace burnout and go about trying to reduce the chances of this happening.

Understanding workplace burnout: what it is and what it isn’t

I'm getting a bit burned out/crispy y'all. Day to day growing pains and conflict hit me hard today. I don't have a lot of reserves and need to find a way through.
I know a lot of people are in the same place. We'll get through this.
— Joe Beda (@jbeda) March 16, 2021

Workplace burnout occurs due to chronic workplace stress that has not been successfully managed, as defined by The World Health Organization (WHO). And no, it is NOT solely due to working long hours.

COVID has accelerated the adoption of remote work. IT teams have been forced to take on rapid digital transformation to enable distributed workforces, completely out of the blue. The hyper use of technology, feeling disconnected from your team, or even being micromanaged by your manager can lead to workplace burnout.

When dealing with occupational burnout, I spoke with around 12 people. Colleagues & friends — some of whom I had known for many years.
Most of them said they had also dealt with burnout, either in the past or now. This BLEW MY MIND, since I know them very well.
— Roy Sarkar (@readroy) January 26, 2022

Key signals as given by WHO, to keep an eye out for:

  • Feeling utterly exhausted
  • Harboring negative feelings towards your work
  • Decreasing professional efficacy

According to a Gallup study, burned-out employees are 63% more prone to take a sick day, 2.6x as likely to be actively seeking a different job, and the most worrisome of all, 23% more likely to visit the emergency room.

Also, read: What Recruiters Forecast For Tech Hiring In 2022

How to reduce burnout in the workplace

Job Burnout Statistics

The past 2 years have been stressful, to say the least. People are making different life choices than they would have made before the pandemic, and defining success in new ways.

Employees are zeroing in on what matters most—how to derive maximum value from their work without putting their mental health at risk. They are expecting more from their managers, and more from their organizations in terms of empathy and understanding. 52% questioned their purpose at their day-to-day job in a recent Gartner survey.

As a manager, it falls upon you to take care of your employees—make sure their problems are heard, they don’t have unreasonable workloads, and they trust you to stand by them. But how do you do that when you are experiencing burnout as well?

Remember, as managers, you get burned out too. As seen in a Gallup survey, managers are more likely to suffer frequent burnout than the people they manage.

Managers, here are 7 ways on how to fix work burnout:

  • Lead by example

The team looks up to their manager to emulate appropriate workplace behaviors. This means it is critical for managers to first deal with their own stress. Otherwise, it permeates the atmosphere at work where your team starts picking up on your stress and everything takes a turn for the worse.

Just like any employee on the team, managers need to take their vacation, go on regular breaks, and be intentional about pursuing work/life balance. Show your team that you deal with burnout seriously and set a good example for them to follow.

Also, read: Corporate Compassion In The New ‘New Normal’: Where Do You Stand?

  • Encourage flexibility in the workday

How do organizations and business leaders help their anxious and burned-out employees? Empower your teams with flexibility. Don’t place limitations on how they work and where they work from.

The 9-to-5 workday model had been waning even pre-pandemic, but in a world of remote work and pandemic stress, it’s more crucial than ever that employees are allowed to choose their schedule—and be at their productive best.

A McKinsey study shows more than 50% of employees report that they would like to work from home at least three days a week post-pandemic. Offer remote/hybrid working models for your employees. If anything is to be learned from the Great Resignation, it is that people will switch jobs if their company returned to fully on-site work.

Recognize that when employees have the freedom to structure the workday around their needs, they won’t run into walls of frustration and stress and are instead, more motivated to work.

After working remotely for the entirety of the past two years, HackerEarth has transitioned into a hybrid work model—we are now expected to be in the office only one day per week. And, so far, it’s been great finally meeting our team in person, most of whom joined during the pandemic.

Also, read: The ‘Great Resignation’ In The Tech Industry – How To Prevent It

  • Provide employee assistance programs

Employee assistance programs can also promote self-care and stress management by providing mental health counseling and diet, exercise, and wellness coaching. Managers are not mental health experts but they point their employees in the right direction—encourage them to seek help from the resources available.

We, at HackerEarth, are pre-registered to 1to1help, an emotional well-being Employee Assistance Program that helps employees prioritize mental health. They conduct regular sessions on achieving work-life balance, managing anxiety, why taking care of mental health is important, and so on.

  • Equip employees with the proper tools

Make use of technology. Any task that is repetitive or doesn’t require manual effort can be automated. Leveraging the right set of tools for every task can significantly bring down stress levels and slash workloads for tech teams.

For instance, if you are a recruiter hiring for a developer, you cannot do everything by yourself—manually sifting through thousands of applications does not make sense. You need to be equipped with a stellar ATS to quickly scan resumes, a platform that offers screening capabilities through coding assessments and an intelligent coding interview tool like HackerEarth, and good onboarding software to make your recruits feel right at home!

Also, read: 21 Tech Recruiting Tools To Scale Your Hiring In 2021

  • Limit the team’s working hours

The downside of remote work is knowing how to switch off from work. With the lines getting blurrier between work and personal life, managers need to set clear parameters on work hours and expectations. Keep checking on your employees to ensure they are not overexerting themselves and being tempted to work long hours.

Zoom fatigue is real and hampers productivity to a large extent. As a manager, you have the power to establish meeting-free days, which greatly improve employee well-being. Have one day (or at least a half-day) with no meetings across your team. This will allow employees to catch up on emails and tasks that are behind—otherwise, contributing to a feeling of being swamped. They could even use this time to rest and recalibrate.

  • Promote work-life balance

Glint’s latest Employee Well-Being Report saw that today’s job candidates rank good work-life balance and excellent compensation/benefits as their main factors when considering working for an organization.

Promoting work-life balance begins at the top. At an organizational level, enforce company policy to shut down early before the holidays. Offer flexible scheduling of workdays to accommodate your employees’ needs.

Our entire office at HackerEarth went into OOO (Out Of Office) mode for the first-ever winter annual break last year. That was ten days of absolutely no work— only relaxing, spending time with loved ones, and maybe, going on a trip!

Company-wide Holiday Announcement

Managers must also ensure they take time out for exercise, family, and self-care. Within the workplace, offering a quiet space for your teams to unplug, meditate, pray or relax for a few minutes can help manage stress.

Also, read: 7 Employee Engagement Strategies For WFH Tech Teams

  • Encourage employees to use vacation time

Set an example by taking vacations where you, as a manager, are fully cut off from any work-related communication. Verbally encourage your team members to use their vacation time before it expires.

Make well-being a priority and foster a culture where employees encourage one another to have a healthy, productive work life amply supported by taking breaks to unplug and rejuvenate—either short ones or longer time-off. Given the rampant increase of stress and anxiety over the past couple of years, time-off will do wonders for your employees’ mental health.

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Author
Ruehie Jaiya Karri
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May 10, 2022
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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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