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Hiring trends in a post COVID-19 world

Hiring trends in a post COVID-19 world

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Ashmita
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June 12, 2020
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4 min read
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The COVID-19 pandemic has disrupted the daily lives of people around the world. In the midst of the pandemic, the world is facing uncertainty across industries, and the recruitment industry is no different. Experts believe that the pandemic will have long-lasting effects on the recruitment industry even after it is left behind us. It will change how organizations attract, hire, and retain talent. Hence, recruiters and hiring managers have to prepare themselves to brace the changes brought about by the COVID-19 outbreak and continue to hire talented candidates. Here’s our take on a few hiring trends that the world will see in a post-COVID-19 world:

1. Recruitment strategies will shift to virtual platforms

Following the unforeseen disruption caused by the coronavirus pandemic, virtual interactions and remote interviews are replacing in-person job interviews and employee onboarding. Organizations are now resorting to intelligent automated systems that offer a virtual interviewing environment as well as provide a great onboarding experience.

Virtual platforms help the recruitment team to stay connected with candidates throughout the entire interview process without meeting them in person. Additionally, experts believe that the usage of coding assessment and video interview tools is expected to increase as part of the hiring process, especially in the tech industry.

One may ask, “Are remote hiring and onboarding just temporary solutions to tackle the COVID-19 pandemic?” We think not! Here’s why:

  • According to recent studies, recruiters reported a 67% spike in video interviews. Candidates were keen too—with a 150% increase in the number of candidates wanting to digitize their CV with a video.
  • Google has informed its candidates that interviews are to be conducted via Google Hangouts or using the organization’s videoconferencing service—BlueJeans. Also, the organization has witnessed a 60% increase in the use of Hangouts Meet.
  • Amazon has set up virtual interview portals for candidates to quickly connect with recruiters and complete necessary documents. The company has canceled several in-person interviews and leverages its video conferencing software, Amazon Chime, to conduct remote interviews with candidates.
  • According to a recent Gartner report, about 74% of CFOs expect some of their employees to continue working remotely even after the COVID-19 pandemic ends. Several organizations are planning to make flexible and remote work models a more permanent part of their cost- and workforce-management strategies after COVID-19 recedes.

Several organizations have moved to the virtual screening and onboarding process, with the aim to mitigate COVID-19-led disruption and sustain business continuity. But even beyond using virtual platforms for interviews, companies that learn to incorporate such platforms in new ways can open up a world of possibilities for reaching and communicating with candidates. That’s why virtual platforms will be one of the most relevant online recruiting strategies in the days to come.

Conduct remote coding interviews with FaceCode.

2. Candidate applications will surge significantly

Nearly 25 million people (and counting) worldwide face unemployment as COVID paralyzes all sectors of the modern economy. A quick recovery is unlikely, says Sangheon LEE, director of employment policy at the International Labor Organization.

In such times, companies are bound to see a spike in the number of applications for a job role. According to studies, youngsters are most likely to lose their jobs or see their income drop because of the pandemic. This can have serious long-term repercussions. If this cohort’s career is disrupted or postponed by even a year, it will have to compete with the new cohorts, joining the labor force after them—arguably, for fewer jobs.

Furthermore, as work from home becomes relatively commonplace, and remote jobs have no specific location requirements, organizations will receive job applications from around the world. Hence, the candidate pool is bound to increase.

As a benchmark, the average job advert receives 59 applicants. However, companies post COVID-19 can expect to receive over 250 applicants per job position.

As a result, recruiters and hiring managers should have smart recruitment strategies in place to tackle such high volume recruiting positions.

3. University recruitment will move online

One of the most fundamental areas that is rapidly changing is university recruitment. Some of these changes were evident even before the pandemic, such as digital portfolios, social media advertisements, and phone calls. They replaced the traditional methods to ease the tedious university recruitment process. In a post-COVID-19 world, students will experience university recruitment in a different light. Where recruiters have traditionally attracted students through on-campus events and tours, they must now shift focus to online activities. A study found that almost 73% of leaders are increasing their marketing efforts during this time. The study states that leaders are reallocating

  • 18% for more content marketing
  • 15% on organic growth
  • 28% toward more online advertising
  • and 12% on social media marketing

More organizations will use Instagram and Facebook to engage with prospective students, share alumni stories, and provide valuable tips. As physical contact will become more restricted, email marketing will offer a great opportunity for recruiters to contact prospective students.

Hire the best tech talent from universities without the need to travel. Find out more.

4. Number of middle-management positions will drop

The 2008 recession saw organizations pulling out all types of middle-management positions. The same trend may continue in 2021, says John Sculley, who served as Apple’s CEO from 1983 to 1993. “A lot of organizations are going to say, ‘Wait a minute, we don’t really need all these layers of middle management that we had in the past,’” Sculley tells CNBC Make It.

Roles in tech companies that were typically assigned to employees in the middle-level bracket may be handled by tools. For instance, Capgemini is using IBM’s cognitive consulting tool Watson to assign people to projects. However, one fear of flattening the middle-management structure is that fewer managers will be available to oversee a higher volume of direct reports. This will create room for error, lack of oversight, and mismanagement.

5. New employee rights will emerge

State and local governments have mandated paid sick leaves for all employees during the COVID-19 outbreak. Hence, many organizations are shifting their focus to hourly workers that were formerly excluded from such perks. It is expected that these laws and policies will accelerate even after the pandemic subsides. As organizations hire new employees and increase retention rates in the face of completion once the economy reviews, this change may become permanent. Companies will need to leverage everything available to keep their employees, partners, and customers as safe as possible.

How has tech recruitment changed after pandemic?

The recruitment landscape, and tech recruitment in specific, has been profoundly reshaped in the post-pandemic era, marked by a significant shift towards remote and hybrid work models, accelerating the digital transformation within hiring processes. Organizations now prioritize digital collaboration skills and autonomy in their search for talent, leveraging advanced digital tools and platforms for virtual interviews, digital onboarding, and AI-driven candidate screening. This transformation extends to an increased focus on employee well-being, work-life balance, and the need for flexibility, fundamentally altering not only how companies recruit but also how candidates evaluate potential employers. As a result, recruitment strategies now emphasize adaptability, digital proficiency, and a strong alignment between organizational values and candidate expectations, setting a new standard for the future of work.

Summing up…

While governments, businesses, and citizens are finding ways to overcome this catastrophe, experts are trying to analyze the impact of COVID-19 on the future of the recruitment industry. Upswings and downturns in the industry are unfortunate, but with this pandemic, one of the biggest changes in hiring trends is likely to be how the recruitment process itself is conducted. Hence, recruiters and hiring managers need to think ahead to stay on top of the curve.

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Author
Ashmita
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June 12, 2020
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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 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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