A special Roy Morgan survey on ‘Trust’ and ‘Distrust’ of government leaders showed New Zealand Prime Minister Jacinda Ardern scores the highest ‘Net Trust Score’ of all. This means that the ‘Trust’ felt toward the New Zealand leader far outweighs the ‘Distrust’. New Zealand PM Jacinda Ardern has highest ‘Net Trust Score’ of all political leaders while Australian PM Scott Morrison has a ‘Net Distrust Score’ to overcome.
At this very challenging time, Jacinda Arden has stood up to the task. Her ratings are off the charts. How did she do it?
She has built a trusted personal Prime Ministerial brand through her casual clothes and addressing of the people via youtube, whilst sitting on her couch at home, after putting her kids to bed.
It’s the trust that gets you through the dark times when you have to ‘furlough’ and somehow retain the commitment and loyalty of thousands of your people
For big-name consumer brands, your customers are both the people in the store buying your products and the people who want to work for you. When you only have so many jobs to go around and your candidates are an extension of your consumer reach, give them dignity. You can do even better and give them a hand up, just by changing how you recruit.
For any relationship, trust starts early. That means trust starts to grow from your very first interactions with your future employee – from your application process through to how you conduct your interviews.
In our current reality of having to work from home and to interview remotely, building trust can be even more of a challenge.
If your Recruitment and HR team are looking to grow trust fast, here are 3 shortcuts by which our customers swear.
1. It’s the end of the black box era – give every applicant feedback
With technology now in the market that ensures every single applicant receives fast automated personalised learning from their interview. There is no excuse for black-box recruiting.
Historically, recruitment is laden with ambiguity and secrecy.
Requiring a live conversation with an org psych if you ever wanted to know your results from sitting your 3-hour psychometric test
Receiving the ubiquitous reject email or call – you don’t meet the requirements of the role, or worse, ‘you are not a good culture fit’
The known unknown- that it could be weeks or even months until you know whether you get the job
2. Expectations have changed enormously for job seekers too.
Even a few years ago, we wouldn’t question the black box of recruitment, the lack of a reply. We wouldn’t expect to receive feedback from an interview. Or to be asked to give feedback
Any company can introduce a feedback request into their recruitment, but giving feedback requires real smarts if you don’t want to kill trust.
And that feedback needs to be meaningful, relatable useful and ideally immediate. A feature enabled only by AI and only by smart human AI.
Today you can access smart AI to give every applicant that learning opportunity. And why wouldn’t you make that a priority in a world of growing unemployment and more disappointed candidates?
Plus, for a consumer brand, their candidate pool is usually also their consumer base and the bigger the brand, the more rejections they give out. In some cases, they are rejecting candidates in 6 figures. Which makes the candidate experience vital for the business even more than for your EVP.
No matter how many candidates apply for a job opening, enhance trust by giving every one of them automated personalised feedback.
3. Kill the bias – commit to genuine blind screening
Barb or Buddhi? Who do you think has a greater likelihood of getting the interview? I don’t like my name much, but I don’t believe it’s ever been a factor in my career opportunities. Unlike Buddhi, my co-founder. When I interviewed Buddhi for the role, he said he had experienced the ‘name’ discrimination himself.
An NYT article reminded us that simply having a ‘white name’ presents a distinct advantage in getting a job. Call-backs for that group being 50% higher. We have already written about the fact that no amount of bias training will make us less bias.
We worry intensely about the amplification of lies and prejudices from the technology that fuels Facebook. Yet do we hold the mirror up to ourselves and check our tendency to hire in our image? How many times have you told a candidate they didn’t get the job because they were not the right “culture fit”?
The truth is that we humans are inscrutable in a way that algorithms are not. This means we are often not accountable for our biases. And bias training has been proven not to be an effective guard against biased hiring.
Enhance trust with your applicants by committing to blind screening, at least at the top of the funnel. While it’s tempting in a world of ‘zoom everywhere’, video interviews are the opposite of blind screening.
Similarly relying on AI that uses deep learning models to find the best match, also don’t endear themselves to building trust with your applicant pool. They make explainability a real challenge for the recruiters.
Suggested Reading:
https://sapia.ai/blog/age-discrimination-mature-hires/
To book a discussion with Sapia – click here – we would love to chat
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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.