Recruiters: The corporate hiring machine is evolving. Can you feel it?
As recently as a year ago, many top companies still selected candidates based on the most misleading of heuristics: The school they attended.
Harvard? Right this way! Community college? No thanks, we don’t take your kind around here.
This Pearson Hardman-style hiring strategy may have ‘worked’ in the past. Not any more, for two reasons: A) the talent isn’t out there, and B) everyday people expect a better standard of hiring fairness. They know that opportunity isn’t distributed equally, and that elite colleges are more a proxy for privilege than actual performance potential.
(Funny that it took a labor shortage to show companies that potential can come from anywhere. Psychologists and sociologists have known it, and have been saying it, for decades.)
Regardless, you’ve got LinkedIn CEO Ryan Roslansky telling Fortune that its company is favouring soft skills over college degrees, because such a practice creates a ‘much more efficient, equitable labor market, which then creates better opportunities for all’. He’s right about this approach. Even if you take away the benefits to diversity and inclusion, it makes sense purely mathematically: Now your hiring pool has increased from a few hundred thousand candidates to, at the very least, millions.
Soft skills are more useful, and fairer, than resumes
Resumes foster bias. Despite this fact, we insist on using them. Why? Because, until now, there hasn’t been a compelling reason not to. You could screen, interview, hire, and get warm bodies in seats with relative ease. Business could go on. Consequently, bias became a can that could be continually kicked down the road. Not anymore, for reasons discussed above.
The same is true for hire quality. Google ‘how to measure quality of hire’ and you’ll get a million different answers. Some advocate the for speed- or time-to-productivity approach; others say it’s about measuring ‘culture fit’. One or both of those might be true, but that’s beside the point: hire quality is nebulous not by its nature, but because the inputs (i.e. resumes) are messing with the outcomes.
This is why measuring soft skills is so important. Here’s an example:
We know that conscientiousness (that is, the propensity for someone work diligently and systematically on tasks) is a good predictor of on-the-job success. We also know that structured interviews are the best explainer (at 26%) of employee performance (versus previous job experience, which explains just 3%).
We might construct a valid candidate interviewing and vetting process based on these two facts alone. Fundamentally, we know that if A) we look for conscientiousness, and B) we do it in a structured, fair, repeatable way, we’ll get good candidates. Hire quality will take care of itself. Good inputs, good outcomes. Voila.
(It’s not quite that simple, but you get the point: There are reliable, proven ways to ensure validity, and the two examples cited above are very real and useable.)
Instead we rely on unstructured interviews, unruly hiring managers, and resumes – none of which can determine how hard-working a candidate is. Bad inputs that create bad outcomes. Consequently, we regularly examine hire quality and wonder why we struggle to measure it, or worse, connect it to the wider financial outcomes of our business.
So how do you measure soft skills?
Let’s keep this as simple as possible.
- Use structured interviews. Aside from the long-standing research above, an Aptitude Research report from this year found that structured interviews are 52% more likely to result in good hire quality.
- Ask questions based on known personality traits and behaviors, because these reliably point to high job performance. You want to know things like conscientiousness, empathy, emotionality, and so on.
Our free job interview rubric contains more than 20 questions designed by our psychologists to help you uncover hire quality. Get it here, use it, and let us know how you found it.
Your companion in accurate measurement of soft skills
There are millions of ways to assess for soft skills in interviews, just as there are millions of ways to calculate quality of hire. You may get some success by going it alone, but humans are, historically speaking, terrible at accurately assessing personality traits (and therefore, hire quality).
Our Ai Smart Interviewer does this very thing. Using deep, always-evolving personality science, our platform interviews and assesses candidates for desirable soft skills and behaviors, and even matches the resultant talent profiles to your company values.
Of course, the benefit is that hire quality is achieved and proven for you – you don’t have to worry about biased interviewers, bad questions, enforcing consistent processes, and the other headaches of recruitment. With that time back, you can focus on your people.
Or, think about it this way: LinkedIn is getting really smart with its hiring. Other companies like Apple, Delta, and IBM are too. Will you be left behind?
Related
Blog
Joe & the Juice Partners with Sapia.ai, Scaling an Exceptional Candidate Experience and Cutting Time to Hire
Read the full press release about the partnership here.
Joe & the Juice, the trailblazing global juice bar and coffee concept, is renowned for its vibrant culture and commitment to cultivating talent. With humble roots from one store in Copenhagen, now with a presence in 17 markets, Joe & The Juice has built a culture that fosters growth and celebrates individuality.
But, as their footprint expands, so does the challenge of finding and hiring the right talent to embody their unique culture. With over 300,000 applications annually, the traditional hiring process using CVs was falling short – leaving candidates waiting and creating inefficiencies for the recruitment team. To address this, Joe & The Juice turned to Sapia.ai, a pioneer in ethical AI hiring solutions.
A Fresh Approach to Hiring
Through this partnership, Joe & The Juice has transformed its hiring process into an inclusive, efficient, and brand-aligned experience. Instead of faceless CVs, candidates now engage in an innovative chat-based interview that reflects the brand’s energy and ethos. Available in multiple languages, the AI-driven interview screens for alignment with the “Juicer DNA” and the brand’s core values, ensuring that every candidate feels seen and valued.
Candidates receive an engaging and fair interview experience as well as personality insights and coaching tips as part of their journey. In fact, 93% of candidates have found these insights useful, helping to deliver a world-class experience to candidates who are also potential guests of the brand.
“Every candidate interaction reflects our brand,” Sebastian Jeppesen, Global Head of Recruitment, shared. “Sapia.ai makes our recruitment process fair, enriching, and culture-driven.”
Results That Matter
For Joe & The Juice, the collaboration has yielded impressive results:
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33% Reduction in Screening Time: Pre-vetted shortlists from Sapia.ai’s platform ensure that recruiters can focus on top candidates, getting them behind the bar faster.
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Improved Candidate Satisfaction: With a 9/10 satisfaction score from over 55,000 interviews, candidates appreciate the fairness and transparency of the process.
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Bias-Free Hiring: By eliminating CVs and integrating blind AI that prioritizes fairness, Joe & The Juice ensures their hiring reflects the diverse communities they serve.
Frederik Rosenstand, Group Director of People & Development at Joe & The Juice, highlighted the transformative impact: “Our juicers are our future leaders, so using ethical AI to find the people who belong at Joe is critical to our long-term success. And now we do that with a fair, unbiased experience that aligns directly with our brand.”
Trailblazing for the hospitality industry
In an industry so wholly centred on people, Joe & the Juice is paving the way for similar brands to adopt technology that enables inclusive, human-first experiences that can reflect a brand’s core values.
If you’re curious about how Sapia.ai can transform your hiring process, check out our full case study on Joe & The Juice here.
Blog
Sapia.ai Wrapped 2024
It’s been a year of Big Moves at Sapia.ai. From welcoming groundbreaking brands to achieving incredible milestones in our product innovation and scale, we’re pushing the boundaries of what’s possible in hiring.
And we’re just getting started 🚀
Take a look at the highlights of 2024
All-in-one hiring platform
This year, with the addition of Live Interview, we’re proud to say our platform now covers screening, assessing and scheduling.
It’s an all-in-one volume hiring platform that enables our customers to deliver a world-leading experience from application through to offer.
Supercharging hiring efficiency
Every 15 seconds, a candidate is interviewed with Sapia.ai.
This year, we’ve saved hiring managers and recruiters hours of precious time that can now be used for higher-value tasks.
Giving candidates the best experience
Our platform allows candidates to be their best selves, so our customers can find the people that truly belong with them. They’re proud to use a technology that’s changing hiring, for good.
Leading the way in AI for hiring
We’ve continued to push the boundaries in leveraging ethical AI for hiring, with new products on the way for Coaching, Internal Mobility & Interview Builders.
Blog
Situational Judgement Tests vs. AI Chat Interviews: A Modern Perspective on Candidate Assessment
Choosing the right tool for assessing candidates can be challenging. For years, situational judgement tests (SJTs) have been a common choice for evaluating behaviour and decision-making skills. However, they come with limitations that can make the hiring process less effective and less inclusive.
AI-enabled chat-based interviews, such as Sapia.ai, provide organisations with a modern alternative. They focus on understanding candidates as individuals and creating a hiring experience that is both fair and insightful while enabling efficient screening and selection.
This shift raises important questions: Are SJTs still a tool that should be considered for volume hiring? And what do AI assessments offer in comparison?
1. The Static Nature of SJTs
Traditional SJTs use predefined multiple-choice questions to assess behavioural tendencies and situational knowledge. While useful for screening, these static frameworks lack the flexibility to adapt based on real-world performance data or evolving role requirements.
Once created, SJTs don’t adapt to new data or evolving organisational needs. They rely on fixed scenarios and responses that may not fully reflect the dynamic realities of modern workplaces, and as a result, their relevance may diminish over time.
AI-enabled chat interviews, on the other hand, are inherently adaptive. Using machine learning, these tools can continuously refine their models based on feedback from real-world outcomes such as hiring or turnover data. This ability to evolve ensures the assessments align with organisations’ needs.
2. Richer Data Through Open-Ended Responses
One of the main critiques of SJTs is their reliance on multiple-choice responses. While structured and straightforward, these options may not capture the full scope of a candidate’s thinking, communication skills, or problem-solving ability. The approach is often limiting, reducing complex human behaviour to a few predefined choices.
AI-enabled chat interviews work more holistically and dynamically. These tools provide a more complete picture of a person by allowing candidates to answer questions in their own words. Natural language processing (NLP) analyses their responses, offering insights into personality traits, communication skills, and behavioural tendencies. This open-ended format lets candidates express themselves authentically, giving employers a deeper understanding of their potential.
3. The Candidate Experience: Stressful or Supportive?
SJTs often include time constraints and rigid formats, which can create pressure for candidates. This is especially true when candidates feel forced to choose options that don’t fully reflect how they would actually behave. The process can feel impersonal, even transactional.
In contrast, chat-based interviews are designed to be conversational and low-pressure for candidates. By removing time limits and adopting a familiar chat interface, these tools help candidates feel more at ease. They also frequently include personalised feedback, turning the assessment into a valuable experience for the candidate, not just the employer.
4. Addressing Bias and Fairness
Traditional SJTs are prone to transparency issues, as candidates can often identify and select the “best practice” answers without revealing their true tendencies. Additionally, static test designs can unintentionally embed bias; due to the nature of the timed test, SJTs have been found to disadvantage some groups.
AI chat interviews, when developed ethically within a framework like Sapia.ai’s FAIR Hiring Framework, eliminate explicit bias by relying solely on the content of a candidate’s responses. Their machine learning models are continuously validated for fairness, ensuring that hiring decisions are free from subjective judgments or irrelevant demographic factors.
5. An Assessment That Improves Over Time
Workplaces are constantly changing, and hiring tools need to keep up. SJTs’ fixed nature can make them less effective as roles evolve or organizational priorities shift. They provide a snapshot but not a dynamic view of what’s needed.
AI-enabled chat interviews are built to adapt. With feedback loops and continuous learning, they incorporate real-world hiring outcomes—like retention and performance data—into their models. This ensures that assessments stay relevant and effective over time.
Rethinking Candidate Assessment
As hiring demands grow more complex, so does the need for tools that can capture the whole person, not just their response to hypothetical scenarios. While SJTs have played an important role in hiring practices, they are increasingly being replaced by tools like AI-enabled chat interviews.
These modern approaches provide richer data, adapt to changing needs, and create a richer and more engaging experience for candidates. Perhaps most importantly, they emphasise fairness and inclusivity, aligning with the growing demand for unbiased hiring practices.
For organisations evaluating their assessment tools, the question isn’t just which method is “better.” Understanding the specific needs of your roles, teams, and candidates will help you choose tools that help you make decisions that are both informed and equitable.