Why employee referrals are crucial for hiring in tech, and how to get them

Tech companies are in a tussle for talent like never before. Back in 2018, a LinkedIn study highlighted the industry’s Achilles heel: a chart-topping turnover rate, 13.2% at the time. With the pandemic easing, the problem seems to have resurfaced and compounded. Multiple sources now reveal Indian IT majors grappling with an attrition rate upwards of 20–25%. Nevertheless, the silver lining, experts suggest, is that the massive churn in the employee talent pool should settle down as 2022 progresses.

Hiring teams find themselves amidst considerable buzz and tension in the job market. Employees who may have earlier not considered changing alliances, now aspire for value in different shapes and sizes, be it a fatter paycheck or a flexible work schedule. They are open to jumping ship. Simultaneously, the rapid pace of digital acceleration juxtaposed with the sparse availability of highly-qualified, domain-specific talent means that hiring managers must act swiftly and smartly.

There may be no way to entirely ‘short-circuit’ the hiring process. However, treading the plank of employee advocacy has proven benefits: better talent, shorter hiring time, reduced cost per candidate – the works! Here’s why employee referrals are too crucial a hiring method to be left underutilized in 2022.

Why do employee referrals work?

Statistics show that employee referrals amount to a large percentage of any given company’s total hires. Data by Gary Crispin published on SHRM pegs this figure at 28–30%, and this can rise to about 45% if more emphasis is placed on the method.

From the perspective of the candidate, a referral establishes an element of trust. Job listings and company websites provide a minimal amount of data about working in the organization. Getting invited by someone who’s ‘been there, done it’ can create a crucial bond between the potential hire and the company. It’s similar to booking one hotel rather than the other, if for no other reason than the reviews. Candidates are likely to go where they have good reason to believe they will succeed.

From the perspective of the employer, a referral means the candidate is, to some extent, already pre-qualified. The fact that a candidate is referred to the company by someone privy to the work culture and demands can drastically improve the quality of the hire. In other words, candidates coming through employee referral programs are vetted by more than the HR team.

It’s a win-win for candidates and hiring teams, and this is reflected by the fact that referrals enjoy a much higher job-offer rate than regular applicants.

Top advantages of employee referral programs

88% of employers agree that employee referral programs are the best source of recruitment, backed by data from Zippia . Here are some reasons why:

Larger talent pool

An employee referral program grants instant access into the employees’ networks. The best talent may very possibly lie outside the company’s reach, and employee networks can help expand the talent pool exponentially. Moreover, many potential employees may be “passive” about wanting a new job and so, may simply not appear on job boards, search engine ads, career pages, and so on.

Higher conversion rate

Data from software company Jobvite shows that referred candidates enjoy a conversion rate of around 40%. Having such a high number of successful placements vis-à-vis the jobs available is extremely beneficial to the budget. It means spending less on the recruitment process. What’s more, compared to the copious amounts of résumés received through other channels, employee referrals are normally few in number. Companies have access to high-potential candidates through referral programs. 

Quicker turnaround time

In a tech world of fierce competition and unrelenting product development deadlines, time is not just money – it’s survival. Here’s where a referred candidate can be gold. The fact that a referral makes candidates and recruiters confident of success translates into a more pleasant recruitment process. Statistics reveal that it implies a shorter recruitment time: 21 days versus the 39-day average, according to data from software company ERIN.

Longer service tenures

Statistics from ERIN also reveal that referred employees stick around longer. Compared to those who come through job boards, nearly double the amount stay committed to a company for double the time frame. Why do referred employees budge less easily? It is probably because they have the inside scoop before joining. They know what they are getting into and make an informed choice to join the company.

Better culture fit

Job listings seek to match technical skills with project requirements. However, will the candidate fit into the team? How will the candidate fare in the company in the long run? A current employee who knows both the company’s culture and the candidate’s personality can help bridge this divide. In fact, recruiters see this culture fit reflected in a high level of employee engagement. 

Lower costs per hire

Multiple sources agree that employee referrals are less costly than other sources of recruitment. Companies sidestep the fees they’d encounter along the traditional hiring routes. More importantly, when putting together domain-specific skill, a low time to productivity, and a high retention rate, the result is a better quality employee – at a cheaper price tag!

How to inspire great employee referrals?

Invest in the program

Employee referrals are cost-effective, but they aren’t free! Here’s what companies can offer.

  1. Cash bonus: Keep it attractive and inclusive. That is, the amount should incite action, and it may be beneficial to open the program up to all levels of employees, be it executives or interns.
  2. Non-cash rewards: Incentives such as a ‘paid vacation’, ‘raise in seniority level’, ‘public recognition’, or ‘dinner with the leadership’ can work better than cash equivalents. They build the referrer’s interest in the company and strengthen the company culture

Keep it simple

Devise a referral program that does not have too many terms and conditions. If it is overly complicated, employees will not participate as eagerly. Moreover, create a straightforward process for candidates to be referred: an online form is great. If the referral program can integrate with social media, even better!

Question and respond

Employee referrals are no magic handshake. They don’t have to work: they can fail! Because the quality of the hire depends on your current employee’s experiences with your company and with the candidate, it can be beneficial to get some data on this during the referral process. This will help sift high-quality referrals from those of a lesser grade.

On gaining a referral, respond to the candidate and referring employee promptly. This keeps all parties interested and the program rolling. A quick response gives the candidate the preferential treatment they may expect. Updates to employees tell them their work is valuable.

Employee referrals are extremely valuable, but cannot be the sole plank. They can suffer from low data and a lack of diversity. Ideally, employee referrals should complement other recruitment methods. For instance, when you partner with Talent500, you get access to over 200,000 pre-vetted professionals gunning to fill the ranks at quickly-growing start-ups and Fortune 500 companies. Our AI-powered tools provide access to 5x faster hiring, data-driven profile matching, and multichannel sourcing.  Schedule a consultation and learn how to put top-draw talent from renowned talent hubs across the globe within your reach today!

 

Bias in AI recruitment: four ways to solve it and pave the way forward

AI adoption was well underway far before 2020, and leaders across industries were finding ways to incorporate it into the operational model. But as the pandemic came around and forced large-scale digitalization, a PwC study reported that 52% of companies saw this as a catalyst for AI adoption. 

This seems only logical, as AI is arguably the best technology for a world forced digital. What’s more, there are obvious upsides, namely better productivity, heightened innovation, and more efficient problem-solving. In fact, a 2021 report by Gartner suggested that the global AI software market in 2022 will total $62 billion. This will be a nearly 21% increase from 2021 and indicative of the fact that AI adoption isn’t slowing any time soon.

Naturally, the use of AI has trickled down into HR processes. Now a notable part of the recruitment process, AI offers many benefits including a faster interview process, increased objectivity, improved quality, heightened experience for candidates and reduced costs. A significant advantage is AI’s ability to provide objective results and eliminate common human errors in the recruitment process. But like any technology, it has its bugs. Research suggests that AI recruitment algorithms can increase the bias against women.

While gender bias is one form, other types of biases in AI recruitment can harm an organization’s goals and success. But as AI maturity sets in, organizations can successfully implement AI in recruitment for the right outcomes. To understand these vulnerabilities for bias in AI recruitment, how organizations can tackle them, and its potential going forward, read on.

Bias in AI recruitment

A key reason for AI recruitment technologies to result in biased results is that humans primarily train these algorithms. Algorithms defined with bias can neutralize the positives that AI brings to the table. For instance, algorithms can pick up on cognitive bias, such as confirmation bias, gender bias, or affinity bias. Here, the main vulnerability is during the assessment of poor prior decision-making. Both past and present decisions can lead to bias in AI recruitment.

When AI algorithms look to learn from prior decisions, it looks for patterns to form the basis for future decisions. Studies reveal that AI predictions based on past hiring decisions can reproduce the same patterns of inequality in all recruitment strategies, even when sensitive characteristics get eliminated. As a result, HR professionals relying solely on the outcomes and predictions of AI will unknowingly make biased decisions.

For instance, bias appears when the algorithm scans and ranks the applicants based on specific traits present in the original data. When an application demonstrates certain traits that are different from the original input, the algorithm can downrank the candidate, even if the traits are irrelevant to the job.

Strategies to tackle AI recruitment bias

Companies can successfully use AI for recruitment with strategic planning and implementation. These strategies can help organizations identify the source of the bias and deter it from spreading further. Here is a breakdown of these tactics for deeper insights. 

Maintain meaningful human supervision

According to research, organizations can improve performance when machines and humans work together. While implementing AI in recruitment protocols, organizations need to ensure that their AI software is human centered. This is because employers can add the human quotient and pick on the cues that AI cannot detect.

This enables informed decision-making that isn’t solely reliant on the technology’s insights. For this to be effective, employers need to be conscious of the bias they bring to the table and ensure that it doesn’t play a role in their decisions. Ideally, companies should have a diverse committee responsible for catching bias occurrences that would otherwise slip through.

Rely on proven techniques and AI models

Tried-and-tested techniques can assure organizations that the AI model they rely on will work favorably. While these do require a fair bit of tailoring, proven AI techniques can help organizations reduce bias as well as make it more cost-effective. Proven AI techniques can help the hiring team receive relevant and unbiased data, as well as allow them to focus on other characteristics during the interview. This includes non-verbal cues, body language, and other things that AI can’t yet analyze accurately. 

A successful example of such a tactic in motion is the hiring practice at Unilever. The organization uses brain games and AI to compare and analyze candidates’ skills. This can help the company significantly improve diversity in the workforce. This works for Unilever because despite the new technology, they have adapted it to work with a traditional and effective technique.

Perform audits and rectify the data

AI algorithms left unchecked are a major cause for concern. They can reproduce the same biased decision, effectively hampering the organization’s efforts to eliminate bias from the recruitment process. This is why it is imperative to perform regular audits. These help managers pick up on problems that hinder the algorithm’s ability to procure desired results. One of the top reasons AI bias creeps into the recruitment process is inaccurate or incomplete data used for training purposes.

Leverage AI-supported models in the metaverse

As the metaverse gains popularity, it is important to consider that this can be an avenue to reduce unconscious bias in human behavior. Unconscious bias becomes challenging to eliminate because the recruiter is not even aware of it. Generally, such bias is based on cues like voice, physical appearance, gender, age and more. In the metaverse, these sensory cues can be stripped away because of the avatars.

When sensory cues are hidden from the interviewer, it decreases the chances of a biased decision. Moreover, organizations can use the metaverse for sensitivity training and work towards reducing bias and biased practices. With AI, the metaverse can also allow HR employees to experience things from a different perspective, which can come in handy when training to eliminate their unconscious bias.

Future outlook of AI in recruitment

Research suggests that AI will shape the future of the workplace in many different ways. With employees and AI working parallelly, AI can ease the load of routine tasks and give employees time to devote their focus on cognitive tasks. A 2020 report also suggested that while AI will displace nearly 80 million jobs, it will create around 95 million more jobs. However, effective and productive use of AI in business processes is only possible when organizations understand its limitations.

Conscious planning, while important, helps successful implementation, but it is also easier said than done. Thankfully, nearly 67% of HR professionals believe that AI in recruitment can benefit these processes.

From the candidate POV, a survey by Talent500 found that 85% of the candidates value their interview experience while evaluating job offers. AI technology is known to enhance this journey when done right. To leverage AI in the recruiting process and ensure it works advantageously, partner with Talent500. Our AI-backed solutions ensure that you get the right match from the pre-vetted talent pool. We also ensure improved engagement and efficiency, with up to 5x faster hiring capabilities and 60% higher recruiter productivity. Schedule a consultation to know how we can tailor these services to suit your needs and leverage AI in recruiting effectively.