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8 Recruitment Trends That Will Impact Talent Acquisition in 2024

8 Recruitment Trends That Will Impact Talent Acquisition in 2024

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Nidhi Kala
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December 6, 2022
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8 min read
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New year. New you. New recruitment trends.

And with this, you need to tweak your ongoing strategies to find the best tech talent. Some trends will continue to stay the same while others will want you to multiply your ongoing efforts with a new approach. But to ensure you do all of this the right way, you need to know the recruitment trends that are being forecasted to turn talent acquisition on its head in 2023!

Trend #1—Recruitment through social media

Social media has been the north star for recruiters and hiring managers. It’s not restricted to building a personal brand and influencer marketing anymore; also finding quality and targeted candidates. With more and more people joining the social squad, social recruiting will continue to be one of the primary channels for recruiters to source candidates.

Tech recruitment trend: social recruiting

Clearly: recruiting via social media is an effective recruiting strategy. Recruiters are seeing the results and this will become more effective with social channels like LinkedIn.

If you are a recruiter leveraging LinkedIn, here’s how you can amplify your efforts:

  • Connect with candidates by scanning their LinkedIn profiles and understanding their interests, skills, experience level and so on
  • Send them an Inmail asking if they are open to opportunities and sharing the job profile you are hiring for

Pro tip: To reach out to super-targeted candidates, make a list of ideal candidates. Engage with their content first or connect with them on LinkedIn and introduce yourself and your company first.

Trend #2—Automation: or ATS- Automated nurturing for resumes

An ATS or applicant tracking system remains to be a savior in the recruitment industry and takes off the load of the hefty manual hiring process. Whether you want to create stronger job descriptions or automate tedious workflows—an ATS can do it all for you; however, recruiters will rely on the ATS only to an extent. They’ll leverage automation and manual efforts to get the best results. When hiring for super-targeted and niche job profiles, recruiters will still have to do a deep dive into their target candidate personas by reaching out to select candidates and scanning their profiles.

Tech recruitment trend: ATS

Recruiters will need to carry out several recruiting tasks manually if they are hiring for a laser-focused senior or niche role. On the flip side, an ATS works in favor when hiring for junior-level roles.

A simple workflow for carrying out your recruitment process via ATS looks like this:

Created a job posting for a junior-level role → candidate applies for the role → an ATS emailer is sent to the candidate asking for the online assessment → candidate takes the test → invited for the interview process (if the test gets approved).

When this recruitment workflow is conducted by recruiters manually for senior roles, each task remains the same but the workload of screening every profile for different roles lessens which makes the ATS a winner.

Trend #3—Reskilling and upskilling to enhance internal mobility

After the layoffs by big tech giants like Twitter and Meta, it is obvious employees can be laid off at any time, at any stage of employment. However, before laying off the employees, companies follow a layoff plan and a multi-step approach on who to select for the layoff. They look at tenure, certifications, performance reviews, and promotability. Based on these factors, they create a scale and measure the employees on this scale, and then lay them off.

External hires are 61% more likely to be laid off or fired in their first year of service and 21% more likely to leave.

And the common point for these layoffs is performance. If the employees are not learning and upskilling, there will always be a lag in their performance. That’s why you need to regulate programs for your employees to help them upskill and reskill themselves to stay ahead of such situations.

And how, you may ask, do you encourage them to upskill? Offer stipends for certifications or conduct in-house training—from educational programs to personal development programs—all of them help in the growth of the employee.

Leaders can invest in programs that teach people tools and approaches for self-development. At my own company, it is ingrained in our values to respect boundaries and the needs of our employers, creating the space for honest communication, and reshaping the mindset from what this employee can do for the company to instead, what can our company do for this employee? We work with our employees to invest in their self-discovery to uncover how they can create meaning in their work through the Pathways Work at Meaning Program. Otherwise, the cycle of quitting will persist, whether quietly or out loud.

74% of Millennial and Gen Z workers plan to quit in 2023 due to a lack of upskilling and career advancement opportunities. I always advise prospective employees to look for what the company is offering: upskilling, mental health coverage like compensation for therapy if needed, education programs, and even testimonies from the leaders of the companies they are interested in working at to gather those invaluable specifics.

—Danny Gutknecht, Co-founder and CEO, Pathways.io

The key is to keep the employees in the learning loop—which will help you to fill open job roles internally and prepare them for any adverse situations ahead.


Also read: How HackerEarth Made it Through 2 Recessions Without Relying on Layoffs?


Trend #4—Employee well-being and engagement

Employee well-being and engagement have been the highlight for better workplace functioning ever since the pandemic. Candidates are now selective about the companies they want to work with. They even create a checklist of the kind of companies they want to work with. Here’s how a candidate’s basic filter checklist looks like:

  • Do I believe in their company’s purpose?
  • Will I work with people who inspire me?
  • Am I going to learn something I don’t already know?

Candidates are as laser-focused on their choice of companies as are the recruiters on finding the right tech talent. They have switched from just focusing on paychecks to companies that:

  • Offer career growth and learning
  • Respect their after-work boundaries
  • Offer them the flexibility to choose their work options
  • Value their emotional and mental health
One of the best ways to build a safe and supportive community is to communicate regularly with your employees. Make sure they feel comfortable approaching you with any personal or work-related issues they may be having. We have weekly meetings with our employees where we discuss the week’s highlights and achievements. We also discuss issues the employees may have experienced during the week and how we can work together as a team to solve them. The meeting also aims at strengthening the bond between the employees and the management. Your employees will appreciate knowing that you care about them as people, not just as workers.

—Matthew Ramirez, Founder, Rephrasely

Here’s the thing: offering employees an annual comp off to give themselves a break from the mental exhaustion of burnout won’t help. It needs to be ingrained in the company’s culture on how to create an employee-first ecosystem.

Trend #5—Employer branding

Employer branding will continue to be a crucial factor in attracting candidates and filling up roles at your organization with quality candidates. With a solid employer brand, you will be able to showcase your company values and aspirations and drive candidates who don't want to stay with you for the annual package but for what you are building. However, building such an employer brand needs effort and authenticity.

“When it comes to the employer brand, organizations are looking to ensure that it best aligns with the values of the talent they seek and that it is genuine,” she says. “The talent audience today is highly skeptical and cynical about corporate messaging. If you tell them that you are committed to diversity and sustainability, for example, you better be able to demonstrate it.”

—Amy Bush, President, Sevenstep

To demonstrate your company values to the candidates and attract the best talent, do this:

  • Get your employees to talk about the company on social media. For example, ask them to share about a fun activity the company did recently and how it impacted them.
  • Get ample PR coverage for the initiatives you have contributed to.
  • Showcase interviews with the leadership team—this helps the candidates understand your leaders’ vision and culture.

Also watch: Creating an Employer Brand That Sticks


Trend #6—Workforce diversification

Work diversification doesn’t just mean what, where, and how people work but also the type of work. Simply put, organizations now rely not just on a geographically distributed team but on a team with different employment types—full-time employees and freelancers.

We are especially proud of our commitment to belonging which is one of our core cultural values. We live it in so many ways. We’ve created a diverse team across geographies, genders, sexual orientations, races, ethnicity, ages, etc. We wanted to build a team that looked representative of our country and of our customers because doing so allows us to better serve them. It also makes for a healthier company culture where we aren’t all stereotypical “tech bros” building a platform that isn’t inclusive.

—Amy Spurling, Founder, Compt

With workforce diversification, companies are successful in doing two things: bringing employees from different backgrounds and having employees with specialized skills together.

A good way to amplify workforce diversification is by having a mix of full-time and independent employees, ideally, by following Pareto's principle of 70:30.

Trend #7—Predictive analysis

Companies will use predictive analysis to audit the skills of existing employees, shortlist them for difficult-to-fill roles, provide them with learning opportunities based on their skills, and help them build personalized career pathways.

Workforce churn is a reality today. Companies in the software industry use analytics to predict customer churn. Similarly, they can use their employee’s data such as data from employee surveys, 1:1 meetings, and productivity data from sprint burn-down charts to determine/predict the possibilities for their employee’s churn. Such analysis helps managers design innovative campaigns to re-engage with employees before the existing skills of the employees.

—Dr. Soudip Roy Chowdhary, CEO, Eugenie.ai

Some questions predictive analysis can help answer include:

  • What are your most effective candidate sourcing channels?
  • How long does the screening process take and which techniques are most effective?
  • How long does it take to go from application to offer?
  • What positions are likely to open in the future?
  • How likely is it for a new hire to perform well and stay long-term?
  • Where do bottlenecks occur in your hiring pipeline?
  • Which roles and skills are urgently needed to meet business goals?

Trend #8—AI in Talent Acquisition

Leveraging AI for candidate sourcing

AI-powered tools can efficiently scan vast resume databases, identifying top talent by analyzing skills, experience, and cultural fit—streamlining the initial sourcing phase.

Enhancing candidate assessment

Using NLP and machine learning, AI ensures objective and consistent candidate assessments by evaluating resumes and conducting initial interviews—reducing biases and saving time.

AI in predictive hiring

AI-based predictive analytics forecast a candidate’s potential success and tenure, enabling more informed hiring decisions and improving retention rates.

Ethical considerations and transparency

While powerful, AI must be used responsibly. Companies must ensure algorithmic transparency and actively address bias to build fair and ethical hiring practices.

Incorporating AI in talent acquisition is no longer optional—it is essential for efficient, fair, and scalable recruitment.

Grab the spotlight in 2024 with these recruitment trends

Now that you’ve seen all the major recruitment trends shaping the future of hiring, it’s time to reassess your strategies. While some trends are already familiar, others offer fresh angles to boost your recruiting game.

Analyze, adapt, and apply these insights to attract the best tech talent in 2024—and make your hiring strategy truly future-ready.

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Author
Nidhi Kala
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December 6, 2022
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8 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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