It’s a fact: People lie on resumés, whether the format is a LinkedIn profile, or an old-fashioned document. Checkster reports that 78% people who applied for a job in 2020 lied about their skills or experience. Another poll by LendEDU found that 34% of LinkedIn users lie, to some extent, on their profiles. Of that number, 55% said they padded out their ‘Skills’ section. To win roles, it seems, many of us are not above a little trickery.
In 2023, when talent acquisition specialists and hiring managers have hours (and sometimes less) to assess candidates, interview them, and woo them, the risk of resumé skill-creep is magnified. For a rushed and overworked hiring manager, who is fed up with losing talent and looking bad because of it, the process of vetting becomes less about careful analysis and more about keyword-matching. In such situations, the truth of the matter is irrelevant.
All of this culminates in a series of statistics that should not be surprising: According to a 2022 Aptitude Research report of more than 300 HR leaders at major companies, 50% of companies have lost quality talent due to the way they interview and hire. At the same time, 50% of companies do not measure the ROI of their interview process. One third are not confident in their interviewing game as a whole.
The process is broken.
That same Aptitude Research report examined the average company recruitment funnel, laying out the points at which candidates typically drop out. It found that, on average:
So you might be losing anywhere from 20 to 40% of your talent pool while you spend time vetting resumés and sifting through cover letters. Aside from the fact that this is a massive time-waster and a prime source of frustration of hiring managers, enforcing the use of resumés is not an effective way to ensure quality of hire.
That’s for two reasons:
Therefore, our over-reliance on resumés creates problems when we go to interview candidates. It’s a classic problem: Overworked hiring managers formulate questions on-the-fly after making cursory glances at candidate submissions. It’s little wonder that 25% of candidates bail at this point – often, they’re just reconfirming information they’ve already told you about who they are and what they’ve done.
There is an alternative: Structured interviews. Schmidt and Hunter found that structured interviews are the best predictor (26%) of on-the-job success. The biggest companies are starting to focus more on this. According to the Wall Street Journal, employers like Google, Delta and IBM are combatting the tight labor market by easing strict needs for college degrees, focussing instead on interview and assessment processes that accurately measure soft skills and behavioral traits.
In its simplest form, the structured interview is based around a predefined set of questions. These questions are typically behavioural and situational in nature: It’s about giving candidates the opportunity to explore how they think, solve problems, formulate plans, and deal with success and failure.
Therefore, questions like ‘Tell me how you’d respond if [specific situation] occurred’ don’t belong in a structured interview. Instead, you might ask, ‘Tell me about when something went wrong with work, and you had to fix it. How did you go about it?’
Importantly, the questions you ask must be the same for all candidates. A critical component of the structured interview is fair and balanced comparison of candidates. If you ask each candidate something different – as so often happens in a fast-paced hourly hiring setup – you can never accurately compare one candidate against another.
In that uncertainty, bias creeps in. It becomes a case of ‘I like this guy, he leans forward when he speaks.’
We’ve developed a handy tool to help you get started with structured interviews today: Our HEXACO job interview rubric. It comes with step-by-step instructions to help you figure out what skills and traits you need based on your open roles and company values. From there, we’ve supplied you with more than 20 science-backed questions and a scorecard. It’s something simple enough for a busy hiring manager to use.
There is a possible world in which the resumé serves hiring managers as a kind of back-up validation document, used purely to verify the veracity of a candidate’s skills and experience. In this world, the first stage of your recruitment funnel is the actual candidate interview.
That’s what our Ai Smart Interviewer can do. It’s a conversational Ai that takes candidates through a chat-based interview, using questions tailored to your open roles.
Candidates give their responses – with plenty of time to think – and Smart Interviewer analyses their word choices and sentence structures using its machine learning brainpower.
A candidate may be able to lie about their years of experience, or their knowledge of CSS, but our Smart Interviewer can accurately determine their cognitive ability, language proficiency, and personality traits. Then it can make recommendations to you on the best candidates, according to the criteria you’ve set – and, at this point, you haven’t even looked at a single resumé. But, as with traditional processes, you have the final say in who you hire.
In 2023, the name of the game is efficiency. Success will be measured in time saved NOT having to screen, review resumes and cover letters, compile candidate feedback, communicate with candidates, or improve hiring manager interview techniques.
When you’re saving that much time and money, your recruitment (or HR) function has more bandwidth to focus on long-term talent acquisition and people initiatives.
Don’t struggle in 2023 – speak to our team today about how we can solve your hiring challenges.
You know the common definition of insanity? The one where the same thing gets done over and over again, but the end result doesn’t change? It might not be a big deal when talking about your daily commute, but taking the same old approach to hire key personnel could be an expensive mistake.
Industry studies estimate bad hires cost up to 2.5 times the dollar amount of that person’s salary – and the damage doesn’t end there. Mismatched employees disrupt workplace chemistry, productivity, and profitability.
In response to poor hiring decisions, a growing number of companies now employ predictive screening and hiring models. Engaging predictive analytics and artificial intelligence (AI) – or algorithms that ‘think’ like humans – to help with the legwork historically performed by recruiters.
AI and predictive analytics look at historical data and then apply the learnings to new data to predict future outcomes. So, predictive hiring models can predict who will make it through the interview process, outperform their peers and still be around a few years down the road.
“Today, HR has a seat at the table, and in order to maintain that business partnership, you need to have an analytics framework.”
Andy Kaslow, CHRO, Cerberus
A 2016 survey revealed a strong desire to drive talent acquisition through data and analytics. Two hundred executives at large U.S. firms want technology to play a bigger part in the hiring process. And the clamour for analytics isn’t confined to a younger crowd. Two-thirds of decision-makers who desire data-driven solutions fell between the ages of 45-64.
Although there is a general consensus that data-driven and predictive hiring will make hiring decisions more accurate, many HR professionals still view it as cumbersome and costly to implement.
And it can be true.
Understanding the data needed to make an impact, and figuring out the best techniques and algorithms to use is difficult.
And it can be expensive to hire data scientists, and other key technical personnel needed to implement a full scale HR analytics system.
But, there’s no need to go it alone or to do it all at once.
Rather than setting up in-house HR analytics teams, most companies opt to engage a vendor who specialises in custom predictive screening and hiring models. Finding a vendor that works with you to solve your hiring challenges will significantly cut cost and time to implement.
The crucial first step of any successful project is to define what that success looks like. And implementing predictive hiring isn’t any different.
Have a think about the biggest issue your organisation is facing at the moment that better hiring decisions will solve.
For example, you might have the issue that a lot of new hires are leaving your organisation after a few months. Or you might have a company culture in need of strengthening, and need to hire people who fit with your ideal culture.
When you have honed in on the issue you want to solve, you also need to start thinking about the data that will be required to solve your challenge.
To give you an indication of the type of data you might need, consider these examples;
(These indications are based on the data required if you were working with us at PredictiveHire)
After defining the issue you want to address with predictive hiring, it is time to find a shortlist of vendors that can help you achieve your goal.
Make sure you look for vendors who are able to build predictive hiring models focused on your specific issues, whilst making sure the candidate experience isn’t compromised.
When you have your shortlist of vendors narrowed down, make sure you perform your due diligence. Some vendors will be a better fit for the challenge you wish to solve with your predictive hiring model.
Make sure your shortlisted vendors address these key questions;
Ai for Hiring – Buyers Guide: The 8 Questions You Must Ask
All of these questions are important to address to ensure the project’s success.
Implementing new software and processes will always require some level of change management, for example; following the ADKAR or Kotter change management approaches. Make sure you are comfortable with the level of support the vendor will offer you during the roll-out.
Following these three steps will ensure you are off to a good start with your predictive hiring project – and can start reaping the rewards quickly.
Resisting this change may put your company at a distinct disadvantage in the marketplace.
A recent MGI study found that AI can significantly improve the bottom line for businesses willing to incorporate them into their core functions. And the time really is now. Early adopters will enjoy a significant data-advantage in only a few years.
“[Leading businesses] use multiple AI technologies across multiple functions. As these firms expand AI adoption and acquire more data, laggards will find it harder to catch up.”
McKinsey Global Institute, June 2017
In the words of Gartner Research’s senior vice president Peter Sondergaard, “Information is the oil of the 21st century, and analytics is the combustion engine.”
You can try out Sapia’s Chat Interview right now, or leave us your details to book a demo
To find out how to interpret bias in recruitment, we also have a great eBook on inclusive hiring.
And then suddenly the video interview went mainstream!
Whether it’s Google Meet, Facetime or Zoom, 2020 will always be remembered as the year that video meet-ups went mainstream. It’s how kids kept up their lessons. How their parents hooked up with their personal trainers. It’s where people met up for Friday drinks. And of course, it’s the technology that enabled millions to stay connected to colleagues and clients while working from home.
And just as video has impacted so many parts of our lives and businesses, it also accelerated the adoption of video tools in contemporary recruiting.
It might be considered the next-best-thing to ‘being there’, but could video interviewing actually be filled with traps that are working against the best interests of recruiters, candidates and employers?
There are two types of video interviews:
Within both types of video interviews, an ability to reduce unconscious bias is promoted as a key benefit.
Unconscious bias is the sum of the inherent beliefs, opinions, cultural background and life experiences that shape how we assess, engage and interact with others.
There are several ways that video interviewing might help reduce unconscious bias:
As much as proponents of video screening or interviewing claim it removes bias from the process, by its very nature, the opposite is in fact true.
As soon as an interviewer or hirer sees a candidate, the blindfolds of bias are removed. No matter how aware or trained in bias the reviewers may be, images and sound can trigger bias. Additionally, it can distract attention from the things that really matter. Here are just a few things that someone talking to the camera will reveal. All possible points of unconscious bias:
No rule says you need to see someone to hire them
That’s just a bias (much like the bias pre-Covid) that you need to see someone at work to know that they are doing the work.
Blind hiring means you are interviewing a candidate without seeing them or knowing them. It’s fair for the candidate and also smart for your organisation.
If you are hanging your hat on the fact you just finished bias training- research has shown consistently unconscious bias training does not work.
While we have all been dutifully attending it for years, the truth is the change factor is zero.
Sapia’s Ai-enabled, text chat interview platform has been designed to deliver the ultimate in blind testing at the most important stage of the recruitment process: candidate screening.
Unlike video interviewing, Sapia removes all the elements that can bring unconscious bias into play – video, visual content such as candidate photos or data gathered from social channels such as LinkedIn. Sapia even takes CVs out of the process.
An enjoyable and empowering candidate experience
While being ‘camera shy’ works against many candidates in video interviews, Sapia evaluates candidates with a few simple open, transparent questions via a text conversation.
Candidates know text and are comfortable using it. A text interview is non-threatening and candidates tell us they feel respected and recognised as the individual they are. They are grateful for the space and time to tell their story in their words. It’s the only conversational interview platform with 99% candidate satisfaction feedback.
Beyond a more empowering candidate experience, the platform helps recruiters and employers connect with the best candidates faster and cost-effectively. The platform uses Ai, machine learning and NLP to test, assess and rank candidates according to values, traits, personality, communications skills and more.
Recruiters can gain valuable personality insights and the confidence of a shortlist with the best matched candidates to proceed to live interviews. By removing bias from the screening process Sapia is helping employers increase workplace diversity.
Find out more about Sapia’s Ai-powered text interview platform. Also, see how we can support your best-practice recruitment needs today.
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Finally, you can try out Sapia’s Chat Interview right now HERE >
Our friends at eArcu are passionate about empowering recruiters to drive the hiring experience. They help recruiters engage and excite candidates from the first touch, to the first day. Now you can take full advantage of eArcu ATS by using Sapia’s interview automation platform, for fairer, faster and better hiring results. Integrating is easy, and it’ll allow you to get ahead of your competitors even easier!
A lot is expected from recruiters, from screening thousands of applicants to attracting candidates of diverse backgrounds and delivering a great candidate experience. But technology has advanced a lot and can now better support recruiters.
The great news is that when you integrate Sapia artificial intelligence technology with the powerful eArcu ATS, you will have a faster, fairer and more efficient recruitment process that candidates love.
You can now:
Gone are the days of screening CVs, followed by phone screens to find the best talent. The number of people applying for each job has grown 5-10 times in size recently. Reading each CV is simply no longer an option. In any case, the attributes that are markers of a high performer often aren’t in CVs and the risk of increasing bias is high.
You can now streamline your eArcu process by integrating Sapia’s interview automation with eArcu.
By sending out one simple interview link, you nail speed, quality and candidate experience in one hit.
Sapia’s award-winning chat Ai is available to all eArcu users. You can automate interviewing, screening, ranking and more, with a minimum of effort! Save time, reduce bias and deliver an outstanding candidate experience.
As unemployment rates rise, it’s more important than ever to show empathy for candidates and add value when we can. Using Sapia, every single candidate gets a FirstInterview through an engaging text experience on their mobile device, whenever it suits them. Every candidate receives personalised MyInsights feedback, with helpful coaching tips which candidates love.
“I have never had an interview like this in my life and it was really good to be able to speak without fear of judgment and have the freedom to do so.
The feedback is also great. This is a great way to interview people as it helps an individual to be themselves.
The response back is written with a good sense of understanding and compassion.
I don’t know if it is a human or a robot answering me, but if it is a robot then technology is quite amazing.”
Take it for a 2-minute test drive here >
Recruiters love the TalentInsights Sapia surface in eArcu as soon as each candidate finishes their interview.
See Recruiter Reviews here >
Well-intentioned organisations have been trying to shift the needle on the bias that impacts diversity and inclusion for many years, without significant results.