The secret to securing great talent is a first-rate candidate experience. If you have been in any way entangled in the aftermath of 2021’s Great Resignation, you know that even an attractive remuneration package, with compelling benefits, is not enough: Now, more than ever, prospective hires will want to see the best of your organisation, and that includes the best of you. You must be fast, decisive, and flexible, from the point of first contact.
This is a problem amplified by scale. If you’re responsible for hiring 100,000 employees per year, for instance, you may find you are required to provide a top-notch candidate experience for that many prospects. You could decide that it is better to do things the old fashioned way, but it is more and more likely that, in doing so, you will miss out on great talent. The cost of such losses is best avoided.
Automation, be it through an assessment tool, conversational Ai platform, or Applicant Tracking System (ATS), is the simple key to solving volume hiring in a chaotic market. However, understandably, many high-volume hiring managers tend to think that automation comes at the cost of personalisation and human contact. If, for instance, you’re processing 5,000 prospects to fit 300 job openings, how do you ensure your candidates are met with the high-touch journey they expect? Is an automated Ai conversation, in the minds of candidates, not just as impersonal as older methods of qualification?
On the face of it, ‘high-touch’ implies an emphasis on person-to-person, face-to-face contact in your hiring process. If you can see your candidates, if you can greet them warmly and exalt your free-breakfast policy, you can make them feel special. Sending an email or a link to a form is impersonal, outmoded, and risks alienating the people you want to attract.
What if, instead, high-touch is a stand-in for meaningful contact, instead of lots of contact? What if you could conduct a smooth, quick, and painless interview process that:
Is that not more effective than a by-the-book interview in which you smiled a lot, engaged in forgettable small talk, and discussed a laundry list of perks?
Woolworths, Australia’s largest private employer, adopted the smart-touch automated hiring approach, and won handsomely for it. They used our Chat Interview (chat-based) and Video Interview (video-based) solutions to assess nearly 9,000 candidates, achieving a candidate satisfaction score of 9.2 out of 10. We saved the hiring team time and money, helped give each of their candidates the fairest possible go, and best of all, helped them achieve their hiring targets.
Woolworths wanted the equivalent of a high-touch candidate experience, and judging by these candidate testimonials, they certainly got it:
“The chat makes you feel like you’re in a safe space – it gives everyone an equal opportunity instead of an in person interview as people can get extremely nervous”.
“I found the process to be reflective and I liked how they wanted to know about me”.
“Everything was amazing! By far the best interview system I’ve encountered! It allowed me to be comfortable and be myself, it really allowed me to take my time with my responses rather than stutter over my words”.
“It was great. I like the potential to retake videos and how quick you’ve responded”.
There you have it: That is how a small hiring team can process nearly 10,000 candidates, using conversational Ai, and offer a truly high-touch candidate experience. But the benefits don’t stop there.
When you entrust your hiring process to Smart Interviewer, our smart interviewer, you automate the process of meaningful data collection. That data is then transformed into actionable insights that help you improve your hiring processes. With TalentInsights, you could learn:
And much more. Suddenly, you have the numbers to back your wider hiring strategies, be they focussed on DEI, or fairness, or another goal. You can show your business that you are making real, quantifiable strides, and leading the way in efficiency and social responsibility.
The appetite for good, actionable data in HR is higher than it has ever been. Hiring managers are waking fast to the realities of the Great Resignation – that we just don’t know as much as we should about what constitutes good talent and candidate experience. In other words: We don’t really know why people are leaving, and we don’t really know why they do or don’t choose us in the first place.
According to a recent study by Madeline Laurano, founder of Aptitude Research, only 50% of the companies that invest in Talent Analytics actually trust the source of their data. When you consider that around 80 million American workers are hourly workers, one of the hardest-to-recruit employment segments of the moment, it becomes clear that the need for useful data is absolutely critical.
What approach will you take? What kind of experience will you provide your candidates, before and after hiring? What kind of data will guide your decisions? Remember: The choice to do nothing is still a choice, and it has an indeterminate cost.
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 👇
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.