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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Blog
The AGC Debate: Are AI-Written Interview Answers a Red Flag or Smart Strategy?
Every day, we read stories of increased fake or AI-assisted applications. Tools like LazyApply are just one of many flooding the market, driving up applicant volumes to never-before-seen levels.
As an overwhelmed hiring function, how do you find the needle in the haystack without using an army of recruiters to filter through the maze?
At Sapia.ai, we help global enterprises do just that. Many of the world’s most trusted brands, such as Qantas Group, have relied on our hiring platform as a co-pilot for better hiring since 2020.
Our Chat Interview has given millions of candidates a voice they wouldn’t have had – enabling them to share in their own words why they’re the best fit for the role. To find the people who belong with their brands, our customers must trust that their candidates represent themselves. Thus, they want to trust that our AI is analysing real human answers—not answers from a machine.
The Rise of GPT
When ChatGPT went viral in November 2022, we immediately adopted a defensive strategy. We had long been flagging plagiarised candidate responses, but then, we needed to act fast to flag responses using artificially generated content (‘AGC’).
Many companies were in the same position, but Sapia.ai was the only company with a large proprietary data set of interview answers that pre-dated GPT and similar tools: 2.5 billion words written by real humans.
That data enabled us to build a world-first:- an LLM-based AGC detector for text-based interviews, recently upgraded to v2.0 with 99% accuracy and a false positive rate of 1%. An NLP classification model built on Sapia.ai proprietary data that operates across all Sapia.ai chat interviews.
Full Transparency with Candidates
Because we value candidate trust as much as customer trust, we wanted to be transparent with candidates about our ability to detect artificially generated content (AGC). As an LLM, we could identify AGC in real time and warn candidates that we had detected it.
This has had a powerful impact on candidate behaviour. Since our AGC detector went live, we have seen that the real-time flagging acts as a real-time disincentive to use tools like ChatGPT to generate interview responses.
The detector generates a warning if 3 or more answers are flagged as having artificially generated content. The Sapia.ai Chat Interview uses 5 open-ended interview questions for volume hiring roles, such as retail, contact centre, and customer service, and 6 questions for professional roles, such as engineers, data scientists, graduates, etc.
Let’s Take a Closer Look at the Data…
We see that using our AGC detector LLM to communicate live with candidates in the interview flow when artificial content has been detected has a positive effect on deterring candidates from using AI tools to generate their answers.
The rate of AGC use declines from 1 question flagged to 5 questions – raising the flag on one question is generally enough to deter candidates from trying again.
The graph below shows the number of candidates, from a total of almost 2.7m, that used artificially generated content in their answers.
Differences in AGC Usage Rate by Groups
We see no meaningful differences in candidate behaviour based on the job they are applying for or based on geography.
However, we have found differences by gender and ethnicity – for example, men use artificially generated content more than women. The graph below shows the overall completion ratios by gender – for all interviews on the left and for interviews where the number of questions with AGC detected is 5 or more on the right.
Perception of Artificially Generated Content by Hirers.
We’re curious to understand how hirers perceive the use of these tools to assist candidates in a written interview. The creation of the detector was based on the majority of Sapia.ai customers wanting transparency & explainability around the use of these tools by candidates, often because they want to ensure that candidates are using their own words to complete their interviews and they want to avoid wasting time progressing candidates who are not as capable as their chat interview suggests.
However, some of our customers feel that it’s a positive reflection of the candidate, showing that they are using the tools available to them to put their best foot forward.
It’s a mix of perspectives.
Our detector labels it as the use of artificially generated content. It’s up to our customers how they use that information in their decision-making processes.
This concept of having a human in the loop is one of the key dimensions of ethical AI, and we ensure that it is used in every AI-related hiring product we build.
Interested in the science behind it all? Download our published research on developing the AGC detector 👇
Research Paper Download: AI Generated Content in Online Text-based Structured Interviews
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.