I spent 13 years working as an agency recruitment consultant but my customer-facing jobs started a lot sooner – at the age of 12, collecting monthly charity raffle contributions for the local hospital. Paper rounds and retail jobs through school were followed by contact centres and bar work at uni, where I first learned about recruitment. It just seemed to fit with my previous experiences as well as my mindset so I figured that’s what I’d do when I graduated.
Actually, that’s a lie. It’s what I decided to do once I’d graduated and decided I hated the idea of being an employee number within a grad scheme but knew it was about time to lock in a career.
I remember my first round of recruitment interviews – I just couldn’t understand why recruiters didn’t understand that when I said “this is what I want to do” i really meant it. I explained I’d done my research. I knew that if I worked harder, longer and smarter than my competitors I would find the best candidates, I’d place them and I’d be rewarded for doing my job
But I just couldn’t get past those infernal recruitment industry group balloon debates/assessment days of the early 2000s that principally involved a white male in his early 20s talking more loudly than the rest despite not really having any substance to his bellowing. I couldn’t understand why Timmy from Surrey’s slightly shouty, verging on passive-aggressive bullying tone always got him progressed to the next stage while the more insightful, reflective comments from others around the table went unnoticed?
I persevered nonetheless and I eventually joined a recruitment process that involved one-on-one interviews followed by a group presentation from the MD. No fake debates, no pitting people against each other – just truth and honesty from the company owner.
I called my recruiter as I walked out the door to tell him I really wanted to work there. And I did, for 8 years.
Now I wonder how much more quickly I could have found a job if those balloon debating sessions had instead been replaced by a tool that helped the recruiters understand my propensity to succeed within recruitment, leveraging my personality and behaviours, my competitive nature, my desire and drive to succeed and then the recruiters combined that with my demonstrable passion for technology…
I’m pretty confident I articulated them during my interviews and backed up my answers with my life experience (at the ripe age of 22!). Alongside my early start in the world of work, I was in the first team for all sports for my entirety of senior school (I even gave Fives ago but it really wasn’t for me). I started played the piano at 4, violin at 7 and self-taught the saxophone as a teenager. I’m a classical pianist (seeing as you didn’t really ask, Shostakovich’s 2nd piano concerto with the school orchestra was my proudest musical moment) and finally I graduated with a 2:1 from a Redbrick University.
An outstanding childhood? No, I don’t think so. But I know I was well above the average for a candidate applying for a graduate recruitment career. I know there was enough about my school and working history to show my commitment to learning, dedication to working hard individually and collectively and displaying a consistent understanding of work = reward. And until those recruitment interviews I had a 100% interview to job-offer ratio. And so I wonder, how many of those companies said “no” to me because they weren’t aware of their biases?
And look, I get it. There were no AI crystal balls back then. Recruiters had to make judgement calls on candidates without the benefit of technology tools to guide them towards the right talent. But I wonder how many of those money-hungry agencies would have paid more attention to candidates like me if a recruitment tool had helped them look beyond their biases and told them I was an applicant worthy of closer attention?
My guess is pretty much all of them.
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.
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.”
For Joe & The Juice, the collaboration has yielded impressive results:
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.
Improved Candidate Satisfaction: With a 9/10 satisfaction score from over 55,000 interviews, candidates appreciate the fairness and transparency of the process.
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.”
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.
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.
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?
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.
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.
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.
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.
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.
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.