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Why are Recruiters Switching to Lateral Hiring?

Why are Recruiters Switching to Lateral Hiring?

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Nidhi Kala
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March 1, 2023
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7 min read
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What happens when you have been consistently ordering a Margherita pizza and a Choco lava cake every time you visit Domino’s Pizza? Well, you know the exact order you want to place. You know the crust and toppings you want over your pizza. You don’t waste much time thinking about what to order. Isn’t it? That’s what happens with lateral hiring too. Lateral hiring is nothing but hiring specialists in your organization for a particular job role instead of investing time in training entry-level employees—you know the skills and experience level you need in a candidate to fill this job role. In other words, you know your order! Many organizations believe it’s good to have a few specialist employees who know every next step they take at their job. And that’s why the majority of recruiters are switching to lateral hiring. In this article, we share everything about what lateral hiring is and the 8-step process we follow at HackerEarth to conduct lateral hiring.

What is lateral hiring?

Lateral hiring is a method of finding an employee who can do a similar job to the vacant one—with a comparable experience and background. Simply put, lateral hiring is the process of sourcing passive candidates to fill niche, specialized or executive positions. However, you may not find these people in your talent pool or on job boards. They are neither active in the job market nor actively seeking opportunities. Earlier, such hiring used to happen in specific industries like law, medicine, big businesses, and the government sector. But, with the pandemic, many tech companies have adopted the unconventional method of lateral hiring to fill vacant positions. Adrienne Couch, Human Resources Analyst, LLC Services emphasizes the same.

“Lateral hiring is becoming more and more popular. In fact, I’ve seen studies that say it’s set to overgrow by over 20% in the next five years. Lateral hiring is also a great way for companies to tap into the passive candidate market. These are people who may not be looking for a new job but could be open to new opportunities. By reaching out to them, companies can snag top talent they may have missed out on otherwise.”

How does lateral hiring work?

Assess your workforce and conduct a skills gap analysis:

  • what skills do they currently have?
  • what skills are they currently missing (but crucial for the company’s growth)?

Once you have studied the skills, define the skills you need from your lateral hire. For example, after studying the skills of web developers in your company, you realize they are well-versed in four languages: JavaScript, C, C++, and SQL. But, you need to upgrade the product, which requires a PHP developer. Now you have two options to do this: train your existing employees, invest financial resources, time, and effort in them to learn it, or onboard a new hire with these skills. Next, define what the role of this lateral hire would look like:

  • what are the tasks and responsibilities they carry out?
  • what would their OKRs look like?
  • how would this role benefit the organization?

Why use lateral hiring to hire top tech talent?

In a study by University of Bristol – School of Economics, Finance and Management, it was found that lateral hiring helps employers acquire, develop and retain human capital—to help improve the competitiveness and reduce the effects of outward staff mobility. Therefore it should be included as a part of recruitment marketing strategy. Let’s understand in detail how lateral hiring can elevate the growth of employers and organizations:

Reduces training costs

There are two ways you can fill in the requirement for new skills in your organization:

  1. train your current employees
  2. recruit new employees

Training your employees requires a lot of heavy lifting. You need funds, time, and effort to prepare them and develop these skills. Still, there is no guarantee that your employees will master them correctly. They’ll take time to learn and implement the skills. This is exactly what Cynthia Davies, CEO and Founder of Cindy’s New Mexico LLC points out.

“Lateral hiring can be beneficial for a company as it reduces training costs. Employees who are already familiar with the company and its culture, as well as the industry in general, require less training. They can hit the ground running in their new roles. Lateral hires can be more efficient and productive in their new roles quicker than external hires because they already know the company’s processes and systems.”

Reduces the risk of hiring the wrong person

Picture this: you want to hire a web developer with PHP expertise the traditional way. You post on job boards, publish the job ad and receive several applications. You scan the applications and shortlist a few developers. They have *only* basic knowledge of the subject and aren’t up-to-date with industry trends. Upon onboarding them, you realize that you still need to train them. Why? Because they have a strong theoretical understanding of PHP but need training on a few practical aspects of the job. That’s when you realize you have hired the wrong person. You needed an experienced employee who knows the ins and outs of what works and what does not and is not restricted to entry-level PHP expertise. With lateral hiring, you can scan the candidate’s profile, and check if their experience fits your requirements. Only then proceed with the next steps in your hiring process.

Also, read: 10 Tech Recruiting Strategies to Find the Best Tech Talent

The 8-step process for lateral hiring at HackerEarth looks like

Preethi Saakre, the Talent Acquisition Manager at HackerEarth shares an extensive 8-step approach for lateral hiring that we use in our organization.

Lateral hiring process

Step 1: Get approval for the role

As a first step, the hiring manager identifies and approves the job role and the skills needed for a lateral hire—which is shared with the talent acquisition team. The talent acquisition (TA) team then works with the hiring manager to confirm the job description (JD). If it’s an existing role, they check with the hiring manager if any changes need to be made to the existing JD. If it’s a brand-new role, the hiring manager will share the roles and responsibilities, and the TA will add these roles and responsibilities to the set template. Next, the talent acquisition team creates the position on Trakstar and sends it for the CEO’s approval.

Step 2: Collect important details

Once the lateral hire’s position is approved, the talent acquisition team conducts an intake call with the hiring manager to understand the need for the role. To collect details about the job role, the TA team fills out a Requirement Gathering Form. They enter all the necessary details and share them with the hiring manager. Next, the hiring manager identifies panel members to be involved in the hiring process. They make sure that each member is aware of the expectations of the candidates and will be interviewing the candidates based on these expectations. They also identify who will handle the competency evaluation process at different levels of interviews.

Step 3: Share data about the talent pool

The talent acquisition team shares data on the overall talent pool available for the role with hiring managers. The TA team then creates a sample screened profile for the lateral candidate along with the hiring manager. This ensures that the sourced and inbound applications they share with the hiring manager are in line with their expectations.

Also, read: Optimize your Hiring Process with Recruitment Analytics

Step 4: Publish the approved position

The talent acquisition team publishes the approved position on job boards—LinkedIn, Glassdoor, IIM Jobs, and Instahyre. On the same day, the talent acquisition team shares the lateral hiring strategy and plan with timelines. They send an email to the hiring manager with the finalized timelines and the other details discussed over the call.

Step 5: Screen the candidates

The talent acquisition team conducts a candidate screening check. During the process, they make sure to follow all the set guidelines:

  • checking the communication skills
  • asking the role screening questions
  • communicating the CTC and notice period expectations
  • evaluating for culture fit
  • understanding the reason for leaving

Once they have screened the candidates, they’ll forward the candidate’s application to the hiring manager for review. Sidenote: If the candidate’s salary expectation is more than the budget for the specialized role, TA needs to communicate it with the hiring manager before proceeding with the conversation.

Also, read: 4 Different Ways to Create Coding Tests on HackerEarth (+Free Template)

Step 6: Use the STAR technique for interviews

Our recruiters and hiring managers at HackerEarth use the STAR technique to answer behavioral questions. When hiring managers ask behavioral questions to candidates, candidates have to give them examples of how they handled past situations or challenges. Put simply, behavioral questions help candidates share stories. Interviewers use these stories to identify the evaluate the candidate beyond their skills.

Star Technique for interviews

For example, the HackerEarth interviewer asks the candidate: “Can you tell me about a time when you went above and beyond to deliver an excellent customer experience?” Situation: “When I was working at company X, we were preparing for a video interview for a client when I learned that someone on their team was deaf. The presentation was due the next day in the morning and I was the only one left in the office after 5 PM.” Task: “I realized there was only one solution and that was for me to stay behind in the evening and add captions myself.” Action: “It took me a few hours, and around 8 PM, I was done. Then, I let our team know about the update.” Results: “In the end, the client enjoyed the presentation. They were very impressed (and surprised) by our attention to detail, and we ended up closing them soon after.” With this story the candidate shared with the interviewer, the interviewer learns about the candidate’s willingness to deal with challenging situations and their passion for work. Once the interviewers complete the interviews, they share detailed feedback and ratings on the same day. Sidenote: The interviewers record feedback on Trackstar.

Also, read: Essential Questions To Ask When Recruiting Developers Part 1 and Part 2

Step 7: Conduct reference checks

Reference checks ensure that the lateral hire the company has recruited is the right decision. For this, recruiters reach out to the hire’s colleagues and ask them about the following:

  • their experience working with the person
  • the candidate’s performance while working with the organization

Answering these two questions give ample information about whether or not the right decision has been made.

Step 8: Send the offer letter

First, we make a verbal offer to the candidate, followed by an offer letter via Adobe. The candidate reviews the offer letter, signs it and it automatically gets recorded in the company’s records and the candidate receives a copy of the signed offer letter. Here’s how our talent acquisition team sent the offer letter to the new hire via Adobe.

Offer letter for new hire

It’s not discreet. It’s not different

If you have ever been told to carry out the lateral hiring process discreetly, it’s time to change that. Lateral hiring is just like the traditional hiring process you carry out in your company. The only difference: you hire specialists. So, whether you’re hiring internal or external candidates as lateral hires, the process remains the same except for a few tweaks in some hiring phases and policies.

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Author
Nidhi Kala
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March 1, 2023
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7 min read
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Vibe Coding: Shaping the Future of Software

A New Era of CodeVibe coding is a new method of using natural language prompts and AI tools to generate code. I have seen firsthand that this change makes software more accessible to everyone. In the past, being able to produce functional code was a strong advantage for developers. Today,...

A New Era of Code

Vibe coding is a new method of using natural language prompts and AI tools to generate code. I have seen firsthand that this change makes software more accessible to everyone. In the past, being able to produce functional code was a strong advantage for developers. Today, when code is produced quickly through AI, the true value lies in designing, refining, and optimizing systems. Our role now goes beyond writing code; we must also ensure that our systems remain efficient and reliable.

From Machine Language to Natural Language

I recall the early days when every line of code was written manually. We progressed from machine language to high-level programming, and now we are beginning to interact with our tools using natural language. This development does not only increase speed but also changes how we approach problem solving. Product managers can now create working demos in hours instead of weeks, and founders have a clearer way of pitching their ideas with functional prototypes. It is important for us to rethink our role as developers and focus on architecture and system design rather than simply on typing code.

The Promise and the Pitfalls

I have experienced both sides of vibe coding. In cases where the goal was to build a quick prototype or a simple internal tool, AI-generated code provided impressive results. Teams have been able to test new ideas and validate concepts much faster. However, when it comes to more complex systems that require careful planning and attention to detail, the output from AI can be problematic. I have seen situations where AI produces large volumes of code that become difficult to manage without significant human intervention.

AI-powered coding tools like GitHub Copilot and AWS’s Q Developer have demonstrated significant productivity gains. For instance, at the National Australia Bank, it’s reported that half of the production code is generated by Q Developer, allowing developers to focus on higher-level problem-solving . Similarly, platforms like Lovable enable non-coders to build viable tech businesses using natural language prompts, contributing to a shift where AI-generated code reduces the need for large engineering teams. However, there are challenges. AI-generated code can sometimes be verbose or lack the architectural discipline required for complex systems. While AI can rapidly produce prototypes or simple utilities, building large-scale systems still necessitates experienced engineers to refine and optimize the code.​

The Economic Impact

The democratization of code generation is altering the economic landscape of software development. As AI tools become more prevalent, the value of average coding skills may diminish, potentially affecting salaries for entry-level positions. Conversely, developers who excel in system design, architecture, and optimization are likely to see increased demand and compensation.​
Seizing the Opportunity

Vibe coding is most beneficial in areas such as rapid prototyping and building simple applications or internal tools. It frees up valuable time that we can then invest in higher-level tasks such as system architecture, security, and user experience. When used in the right context, AI becomes a helpful partner that accelerates the development process without replacing the need for skilled engineers.

This is revolutionizing our craft, much like the shift from machine language to assembly to high-level languages did in the past. AI can churn out code at lightning speed, but remember, “Any fool can write code that a computer can understand. Good programmers write code that humans can understand.” Use AI for rapid prototyping, but it’s your expertise that transforms raw output into robust, scalable software. By honing our skills in design and architecture, we ensure our work remains impactful and enduring. Let’s continue to learn, adapt, and build software that stands the test of time.​

Ready to streamline your recruitment process? Get a free demo to explore cutting-edge solutions and resources for your hiring needs.

Guide to Conducting Successful System Design Interviews in 2025

What is Systems Design?Systems Design is an all encompassing term which encapsulates both frontend and backend components harmonized to define the overall architecture of a product.Designing robust and scalable systems requires a deep understanding of application, architecture and their underlying components like networks, data, interfaces and modules.Systems Design, in its...

What is Systems Design?

Systems Design is an all encompassing term which encapsulates both frontend and backend components harmonized to define the overall architecture of a product.

Designing robust and scalable systems requires a deep understanding of application, architecture and their underlying components like networks, data, interfaces and modules.

Systems Design, in its essence, is a blueprint of how software and applications should work to meet specific goals. The multi-dimensional nature of this discipline makes it open-ended – as there is no single one-size-fits-all solution to a system design problem.

What is a System Design Interview?

Conducting a System Design interview requires recruiters to take an unconventional approach and look beyond right or wrong answers. Recruiters should aim for evaluating a candidate’s ‘systemic thinking’ skills across three key aspects:

How they navigate technical complexity and navigate uncertainty
How they meet expectations of scale, security and speed
How they focus on the bigger picture without losing sight of details

This assessment of the end-to-end thought process and a holistic approach to problem-solving is what the interview should focus on.

What are some common topics for a System Design Interview

System design interview questions are free-form and exploratory in nature where there is no right or best answer to a specific problem statement. Here are some common questions:

How would you approach the design of a social media app or video app?

What are some ways to design a search engine or a ticketing system?

How would you design an API for a payment gateway?

What are some trade-offs and constraints you will consider while designing systems?

What is your rationale for taking a particular approach to problem solving?

Usually, interviewers base the questions depending on the organization, its goals, key competitors and a candidate’s experience level.

For senior roles, the questions tend to focus on assessing the computational thinking, decision making and reasoning ability of a candidate. For entry level job interviews, the questions are designed to test the hard skills required for building a system architecture.

The Difference between a System Design Interview and a Coding Interview

If a coding interview is like a map that takes you from point A to Z – a systems design interview is like a compass which gives you a sense of the right direction.

Here are three key difference between the two:

Coding challenges follow a linear interviewing experience i.e. candidates are given a problem and interaction with recruiters is limited. System design interviews are more lateral and conversational, requiring active participation from interviewers.

Coding interviews or challenges focus on evaluating the technical acumen of a candidate whereas systems design interviews are oriented to assess problem solving and interpersonal skills.

Coding interviews are based on a right/wrong approach with ideal answers to problem statements while a systems design interview focuses on assessing the thought process and the ability to reason from first principles.

How to Conduct an Effective System Design Interview

One common mistake recruiters make is that they approach a system design interview with the expectations and preparation of a typical coding interview.
Here is a four step framework technical recruiters can follow to ensure a seamless and productive interview experience:

Step 1: Understand the subject at hand

  • Develop an understanding of basics of system design and architecture
  • Familiarize yourself with commonly asked systems design interview questions
  • Read about system design case studies for popular applications
  • Structure the questions and problems by increasing magnitude of difficulty

Step 2: Prepare for the interview

  • Plan the extent of the topics and scope of discussion in advance
  • Clearly define the evaluation criteria and communicate expectations
  • Quantify constraints, inputs, boundaries and assumptions
  • Establish the broader context and a detailed scope of the exercise

Step 3: Stay actively involved

  • Ask follow-up questions to challenge a solution
  • Probe candidates to gauge real-time logical reasoning skills
  • Make it a conversation and take notes of important pointers and outcomes
  • Guide candidates with hints and suggestions to steer them in the right direction

Step 4: Be a collaborator

  • Encourage candidates to explore and consider alternative solutions
  • Work with the candidate to drill the problem into smaller tasks
  • Provide context and supporting details to help candidates stay on track
  • Ask follow-up questions to learn about the candidate’s experience

Technical recruiters and hiring managers should aim for providing an environment of positive reinforcement, actionable feedback and encouragement to candidates.

Evaluation Rubric for Candidates

Facilitate Successful System Design Interview Experiences with FaceCode

FaceCode, HackerEarth’s intuitive and secure platform, empowers recruiters to conduct system design interviews in a live coding environment with HD video chat.

FaceCode comes with an interactive diagram board which makes it easier for interviewers to assess the design thinking skills and conduct communication assessments using a built-in library of diagram based questions.

With FaceCode, you can combine your feedback points with AI-powered insights to generate accurate, data-driven assessment reports in a breeze. Plus, you can access interview recordings and transcripts anytime to recall and trace back the interview experience.

Learn how FaceCode can help you conduct system design interviews and boost your hiring efficiency.

How Candidates Use Technology to Cheat in Online Technical Assessments

Impact of Online Assessments in Technical Hiring In a digitally-native hiring landscape, online assessments have proven to be both a boon and a bane for recruiters and employers. The ease and...

Impact of Online Assessments in Technical Hiring


In a digitally-native hiring landscape, online assessments have proven to be both a boon and a bane for recruiters and employers.

The ease and efficiency of virtual interviews, take home programming tests and remote coding challenges is transformative. Around 82% of companies use pre-employment assessments as reliable indicators of a candidate's skills and potential.

Online skill assessment tests have been proven to streamline technical hiring and enable recruiters to significantly reduce the time and cost to identify and hire top talent.

In the realm of online assessments, remote assessments have transformed the hiring landscape, boosting the speed and efficiency of screening and evaluating talent. On the flip side, candidates have learned how to use creative methods and AI tools to cheat in tests.

As it turns out, technology that makes hiring easier for recruiters and managers - is also their Achilles' heel.

Cheating in Online Assessments is a High Stakes Problem



With the proliferation of AI in recruitment, the conversation around cheating has come to the forefront, putting recruiters and hiring managers in a bit of a flux.



According to research, nearly 30 to 50 percent of candidates cheat in online assessments for entry level jobs. Even 10% of senior candidates have been reportedly caught cheating.

The problem becomes twofold - if finding the right talent can be a competitive advantage, the consequences of hiring the wrong one can be equally damaging and counter-productive.

As per Forbes, a wrong hire can cost a company around 30% of an employee's salary - not to mention, loss of precious productive hours and morale disruption.

The question that arises is - "Can organizations continue to leverage AI-driven tools for online assessments without compromising on the integrity of their hiring process? "

This article will discuss the common methods candidates use to outsmart online assessments. We will also dive deep into actionable steps that you can take to prevent cheating while delivering a positive candidate experience.

Common Cheating Tactics and How You Can Combat Them


  1. Using ChatGPT and other AI tools to write code

    Copy-pasting code using AI-based platforms and online code generators is one of common cheat codes in candidates' books. For tackling technical assessments, candidates conveniently use readily available tools like ChatGPT and GitHub. Using these tools, candidates can easily generate solutions to solve common programming challenges such as:
    • Debugging code
    • Optimizing existing code
    • Writing problem-specific code from scratch
    Ways to prevent it
    • Enable full-screen mode
    • Disable copy-and-paste functionality
    • Restrict tab switching outside of code editors
    • Use AI to detect code that has been copied and pasted
  2. Enlist external help to complete the assessment


    Candidates often seek out someone else to take the assessment on their behalf. In many cases, they also use screen sharing and remote collaboration tools for real-time assistance.

    In extreme cases, some candidates might have an off-camera individual present in the same environment for help.

    Ways to prevent it
    • Verify a candidate using video authentication
    • Restrict test access from specific IP addresses
    • Use online proctoring by taking snapshots of the candidate periodically
    • Use a 360 degree environment scan to ensure no unauthorized individual is present
  3. Using multiple devices at the same time


    Candidates attempting to cheat often rely on secondary devices such as a computer, tablet, notebook or a mobile phone hidden from the line of sight of their webcam.

    By using multiple devices, candidates can look up information, search for solutions or simply augment their answers.

    Ways to prevent it
    • Track mouse exit count to detect irregularities
    • Detect when a new device or peripheral is connected
    • Use network monitoring and scanning to detect any smart devices in proximity
    • Conduct a virtual whiteboard interview to monitor movements and gestures
  4. Using remote desktop software and virtual machines


    Tech-savvy candidates go to great lengths to cheat. Using virtual machines, candidates can search for answers using a secondary OS while their primary OS is being monitored.

    Remote desktop software is another cheating technique which lets candidates give access to a third-person, allowing them to control their device.

    With remote desktops, candidates can screen share the test window and use external help.

    Ways to prevent it
    • Restrict access to virtual machines
    • AI-based proctoring for identifying malicious keystrokes
    • Use smart browsers to block candidates from using VMs

Future-proof Your Online Assessments With HackerEarth

HackerEarth's AI-powered online proctoring solution is a tested and proven way to outsmart cheating and take preventive measures at the right stage. With HackerEarth's Smart Browser, recruiters can mitigate the threat of cheating and ensure their online assessments are accurate and trustworthy.
  • Secure, sealed-off testing environment
  • AI-enabled live test monitoring
  • Enterprise-grade, industry leading compliance
  • Built-in features to track, detect and flag cheating attempts
Boost your hiring efficiency and conduct reliable online assessments confidently with HackerEarth's revolutionary Smart Browser.
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