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Referral recruitment - the most effective way of recruitment and how you can improve it

Referral recruitment - the most effective way of recruitment and how you can improve it

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Arpit Mishra
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December 6, 2017
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5 min read
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“Let’s just say I know a guy…who knows a guy…who knows another guy.” – Saul Goodman

Can you fathom what might have happened if Saul Goodman hadn’t said these words on the hit TV series “Breaking Bad”?

While it might have saved us some tears at the season finale, it got the protagonist Walter White in touch with Tuco Salamanca, and without spilling any spoiler beans, we can safely say that it took the show to a whole new level.

In the corporate world – referral recruitment is the equivalent of that.

But what exactly is referral recruitment?

Simply put, it is a strategy where current employees of a company are encouraged to refer contacts for vacant positions within the company.

It is a tactic where companies empower employees to become brand advocates and through word-of-mouth attract top talent from their peer networks to work for the company.

This is not a new concept – referral programs have existed since the time of Julius Caesar’s rule in 55 B.C, who apparently offered 300 sestertii to any soldier recruiting another into the Roman army.

The amount was far from measly as it amounted to almost one-third of a soldier’s annual pay.

Fast forward many centuries later, companies continue to harness the power of referral recruitment to get high-potential candidates to work for them.

In this article, we will explore how referral recruitment is better than most other recruitment methods and ways in which companies can make it more efficient.

5 Benefits of having a referral program

  1. Higher retention of employees

    Retention is a top concern for talent leaders all over the world. Referrals are the perfect vessels with which to wade the murky waters of talent acquisition and retention.

    This is because the turnover rate of referred employees is found to be lesser than non-referred employees who are hired through other recruitment mediums.

    Research shows that 56% of referred employees stay for over five years in their current position, and over 70% stayed in the same position as the time of hire, which indicates higher job satisfaction.

  2. Higher employee productivity

    A study by Stanford found that referred employees have higher productivity compared to employees hired through alternative channels.

    They were also found to have better company fitment, which is a top priority for employers, as the referred candidates are aware of the company culture and working conditions at the time of joining the company.

  3. Costs a fraction of other recruitment methods

    When your employees recruit top talent for you, you cut your talent acquisition costs significantly.

    You save on advertising costs for job boards, the cost of hiring an RPO or a staffing agency, recruitment drives, and more.

    The financial incentive that you pay employees when a referral gets hired is only a fraction of other recruitment costs.

  4. Leads to higher innovation

    Yes, you read it right — referrals were found to boost innovation according to the study titled “You’d be perfect for this: Understanding the Value of Hiring Through Referrals.”

    The social synergy at a workplace where employees have more friends leads to more innovative ideas compared to a workplace with fewer referrals.

  5. Saves time

    Referrals skip the Awareness and Consideration stages of the recruiting funnel (depicted below) and skip straight to the Selection or Interview stage.

    This cuts a big chunk of the total time taken to hire the candidate.

    The larger the percentage of your workforce you hire through referrals, the more time you save on recruitment.

    Image Source: Glassdoor.com

5 steps to improve your referral recruitment

Is referral programmes good as it sounds? In a word, yes! But it’s slightly more complex and involves examining areas that need to be enhanced to get the full benefit of employing referral programs.

  1. The incentive structure for referring candidates

    The report by ICIMS titled “The impact of successful employee referral programs” shows that out of a whole range of program characteristics, one of the top areas of improvement in companies included an appropriate incentive structure for referring candidates.

    Caesar understood the importance of incentivizing the process back in his time.

    But things have changed since then. Money is no longer the chief motivator for employees to refer their peers; their motivations are more altruistic in nature.

    The biggest incentive for employees is helping their friends followed by helping the company (as seen in the image below).

    The incentive structure of a company should account for these intentions.

    While employees might appreciate small monetary perks, recognition from the company and the team for their contributions are far more likely to appeal to them and will encourage them to continue referring more talent.

    Image Source: Linkedin.com

  2. Educating employees on the positive impact of referrals

    Employers assume that employees understand the importance of referrals, however, that might not be the case.

    It is important to let employees know the positive impact of referrals and highlight any specific contributions and recognize their efforts by giving first-hand examples from the team.

    A great way to do this is to set reminders to discuss any examples or reinforce the positive impact of referrals in team meetings or during one-on-one sessions.

    Referrals must be proactively encouraged by employees to attract passive top talent in their networks who might not be looking to switch roles or jobs.

  3. Leveraging technology to support the referral process

    While companies recognize the importance of tracking via technology, this is an area where they are severely debilitated according to the ICIMS report.

    Companies need to invest in applicant tracking systems (ATS) with a built-in employee referral program that keeps tabs on the hiring process.

    These systems also track the financial incentives paid to employees when referrals become new hires.

    To get true ROI from this technology, consider investing in one that also gathers important statistics, such as the tenure of new hires within the company.

    Some companies are also implementing out-of-the-box solutions to track the referral process better.

    Dropbox, for instance, built an app where employees can enter their referral into the system and can track the various stages of the hiring process using the app.

    Integrate with marketing

    The report by LinkedIn titled Global Recruiting Trends 2016 showed how talent acquisition needs to partner with marketing to get brand excellence.

    This will help increase awareness and educate employees and passive candidates about the company culture and brand.

  4. Timely communication with the referral

    The biggest reason for referrals not converting to hires is “untimely communication.”

    While passive candidates might not mind waiting for an organization to tell them of their progress, candidates who are actively looking for opportunities have a higher chance of accepting competing offers and prefer a company that keeps them informed on their application status.

    Timely communication at every stage of the hiring process is key to retaining the interest of referrals.

  5. Ensure the talent pool is diverse

    According to LinkedIn’s report on Global Recruiting Trends 2017, recruiting more diverse candidates is one of the top three important trends that will define the future of global recruiting.

    When it comes to referral recruiting, companies must be careful not to recruit a homogenous workforce as there is a chance that people would refer to others who are most like them.

    So, companies that don’t have a diverse workforce, to begin with, might not have a diverse employee referral pipeline and might end up with a more standardized workforce.


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Referral recruitment is old but not obsolete

Referral recruitment has not lost its luster in the recruiting world as almost 48% of the world’s talent leaders get quality hires using employee referrals, as per LinkedIn’s report on Global Recruiting Trends 2017.

In India, at least 65 percent of recruiters are reported to be using employee referral programs to attract quality talent.

This is a trend which might have started centuries earlier but is here to stay as 26% of employers considered employee referral programs to be a long-lasting trend.

To provide true ROI though, employers must ensure that they have a robust system in place to educate and empower employees and a system to track the referral process while striving to make the process more transparent and convenient for them.

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Author
Arpit Mishra
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December 6, 2017
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5 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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