As companies vie for talent, a candidate’s initial interaction with a potential employer sets the tone for their entire relationship, both as potential employees and consumers.
Recent research by Sapia.ai, presented at the 2024 SIOP Annual Conference, reveals that candidates prefer Asynchronous Chat Interviews scored by AI. These interviews offer a less stressful and more inclusive alternative to video interviews.
The Importance of a Positive Candidate Experience
A positive candidate experience is not just about making a good first impression; it has tangible business implications. Studies have shown that candidates with a positive experience are more likely to accept job offers, recommend the company to others, and even become loyal customers.
At Sapia.ai, we measure the brand advocacy of every candidate to ensure that their experience translates to positive brand association from both an employer and consumer brand perspective. On average, 84% of candidates applying for roles with a consumer brand are more likely to recommend their products/services due to their Sapia.ai Chat Interview experience.
Conversely, a negative experience can lead to candidates severing ties with the company and spreading negative feedback, harming the employer’s brand and bottom line. We all remember the Virgin Mobile study in which they lost 7,500 customers and approximately $5.4 million in revenue due to dissatisfaction with their candidate experience (Talent Tech Labs, 2017).
Asynchronous Interviews
Many organizations have adopted asynchronous interviews in their volume hiring processes to scale and automate their people processes.
In particular, asynchronous video interviews have gained popularity due to their purported cost savings and ability to streamline recruitment. However, they have received mixed reactions from candidates. While video interviews have been praised for their job-relatedness and ability to showcase skills, some studies suggest that they are perceived as less fair and lacking a personal touch than face-to-face interviews.
AI-scored Chat Interviews
AI-scored Chat Interviews are structured interviews conducted over chat. The candidate is asked several standardized interview questions through a chat interface and writes their responses, which the AI then analyzes and scores.
Sapia.ai’s research reveals that candidates perceive AI Chat Interviews as cutting-edge, empowering, and convenient. The approach aligns with the instrumental-symbolic framework, suggesting that perceived innovativeness is key to employer attractiveness.
Examining Candidate Reactions
This study provides compelling insights into candidate satisfaction and completion rates when comparing both Video Interviews and Chat Interviews for over 1 million job candidates. The data shows that AI Chat Interviews have higher satisfaction ratings than Video Interviews. Additionally, candidates are more likely to start and finish a chat interview, whereas candidates are more hesitant to start a video interview, leading to lower overall completion rates for Video Interviews. In contrast, chat interviews have nearly double the completion rates in the first 24 hours and significantly lower non-starter rates. This suggests that candidates have a higher preference for engaging with and completing chat interviews.
Gender Inclusivity in Interviews
An interesting aspect of the study is the examination of completion rates by gender. The findings indicate that women, in particular, are more likely to complete chat interviews than video interviews. Additionally, while both genders had higher candidate satisfaction scores for Chat Interviews than Video Interviews, this effect was more pronounced for women.
These findings are crucial, considering the potential inclusivity concerns associated with video interviews, such as fear of human bias or discrimination. The higher completion rates and candidate satisfaction for Chat Interviews across genders, with a more pronounced improvement for women, highlight their potential to enhance inclusivity in the recruitment process.
Chat Wins By A Mile
Thematic analysis of the open-ended feedback from candidates is overwhelmingly in favour of chat interviews. Candidates find them less stressful, easier to navigate, and more comfortable.
A staggering 78% of candidates who mentioned a preference for one type of interview over the other expressed a preference for chat over video. This preference is especially pronounced among candidates who may feel self-conscious or anxious in video interviews, such as those with low self-esteem or social anxiety.
Further examining comment topics revealed that the top 3 themes for Chat Interviews were:
- Flexibility and relaxed nature of the interview format with no time limit or pressure;
- Thought-provoking, reflective, interesting, and enjoyable experience;
- Desire and enthusiasm to work for the company and appreciation for the ability to showcase their skills.
Video Interview themes, while the majority were positive, included examples of candidates expressing nervousness and discomfort with the video platform. The theme with the largest difference between Chat Interview and Video Interview was candidates mentioning a preference for face-to-face interviews, with the vast majority of these comments coming from Video Interview candidates, over 3X the prevalence for Chat Interview candidates.
All Asynchronous Interviews are not created equally
The research by Sapia.ai highlights a clear trend: candidates prefer AI-scored chat interviews over video interviews.
Employers can offer a more inclusive, less stressful, and more efficient interview process by adopting asynchronous chat interviews at the start of the hiring process.
While video interviews have a place as a secondary step for shortlisted candidates, the benefits of using chat at the top of the hiring funnel are clear.
Read the full whitepaper here.
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Mirrored diversity: why retail teams should look like their customers
Walk into any store this festive season and you’ll see it instantly. The lights, the displays, the products are all crafted to draw people in. Retailers spend millions on campaigns to bring customers through the door.
But the real moment of truth isn’t the emotional TV ad, or the shimmering window display. It’s the human standing behind the counter. That person is the brand.
The missing link in retail hiring
Most retailers know this, yet their hiring processes tell a different story. Candidates are often screened by rigid CV reviews or psychometric tests that force them into boxes. Neurodiverse candidates, career changers, and people from different cultural or educational backgrounds are often the ones who fall through the cracks.
And yet, these are the very people who may best understand your customers. If your store colleagues don’t reflect the diversity of the communities you serve, you create distance where there should be connection. You lose loyalty. You lose growth.
We call this gap the diversity mirror.
What mirrored diversity looks like
When retailers achieve mirrored diversity, their teams look like their customers:
- A grocery store team that reflects the cultural mix of its neighbourhood.
- A fashion store with colleagues who understand both style and accessibility.
- A beauty retailer whose teams reflect every skin tone, gender, and background that walks through the door.
Customers buy where they feel seen – making this a commercial imperative.
How to recruit seasonal employees with mirrored diversity
The challenge for HR leaders is that most hiring systems are biased by design. CVs privilege pedigree over potential. Multiple-choice tests reduce people to stereotypes. And rushed festive hiring campaigns only compound the problem.
That’s where Sapia.ai changes the equation: Every candidate is interviewed automatically, fairly, and in their own words.
- Bias is measured and monitored using Sapia.ai’s FAIR™ framework.
- Outcomes are validated at scale: 7+ million candidates, 52 countries, average candidate satisfaction 9.2/10.
- Diversity can be measured: with the Diversity Dashboard, you can track DEI capture rates, candidate engagement, and diversity hiring outcomes across every stage of the funnel.
With the right HR hiring tools, mirrored diversity becomes a data point you can track, prove, and deliver on. It’s no longer just a slogan.
Retail recruiting strategies in action: the David Jones example
David Jones, Australia’s premium department store, put this into practice:
- 40,000 festive applicants screened automatically
- 80% of final hires recommended by Sapia.ai
- Recruiters freed up 4,000 hours in screening time
- Candidate experience rated 9.1/10
The result? Store teams that belong with the brand and reflect the customers they serve.
Read the David Jones Case Study here 👇
Recruiting ideas for retail leaders this festive season
As you prepare for festive hiring in the UK and Europe, ask yourself:
- How much will you spend on marketing this Christmas?
- And how much will you invest in ensuring the colleagues who deliver that brand promise reflect the people you want in your stores?
Because when your colleagues mirror your customers, you achieve growth, and by design, you’ll achieve inclusion.
See how Sapia.ai can help you achieve mirrored diversity this festive season. Book a demo with our team here.
FAQs on retail recruitment and mirrored diversity
What is mirrored diversity in retail?
Mirrored diversity means that store teams reflect the diversity of their customer base, helping create stronger connections and loyalty.
Why is diversity important in seasonal retail hiring?
Seasonal employees often provide the first impression of a brand. Inclusive teams make customers feel seen, improving both experience and sales.
How can retailers improve their hiring strategies?
Adopting tools like AI structured interviews, bias monitoring, and data dashboards helps retailers hire fairly, reduce screening time, and build more diverse teams.
Blog
The Diversity Dashboard: Proving your DEI strategy is working
Why measuring diversity matters
Organisations invest heavily in their employer brand, career sites, and EVP campaigns, especially to attract underrepresented talent. But without the right data, it’s impossible to know if that investment is paying off.
Representation often varies across functions, locations, and stages of the hiring process. Blind spots allow bias to creep in, meaning underrepresented groups may drop out long before offer.
Collecting demographic data is only step one. Turning it into insight you can act on is where real change and better hiring outcomes happen.
What is the Diversity Dashboard?
The Diversity Dashboard in Discover Insights, Sapia.ai’s analytics tool, gives you real-time visibility into representation, inclusion, and fairness at every stage of your talent funnel. It helps you connect the dots between your attraction strategies and actual hiring outcomes.
Key features include:
- Demographic filters – Switch between gender, ethnicity, English as an additional language, First Nations status, disability, and veteran status. View age and ethnicity in standard or alternative formats to match regional reporting needs.
- Representation highlights – Identify the top five represented sub-groups for each demographic, plus the three fastest-growing among underrepresented groups.
- Track trends over time – See month-by-month changes in representation over the past 12 months, compare to earlier periods, and connect the data back to your EVP and attraction spend.
- Candidate experience metrics – Measure CSAT (satisfaction) and engagement rates by demographic to ensure your hiring process works for everyone. Inclusion is measurable.
- Hiring fairness – Compare representation in your applied, recommended, and hired pools to spot drop-offs. Understand not just who applies, but who progresses — and why.
From insight to action
With the Diversity Dashboard, you can pinpoint where inclusion is thriving and where it’s falling short.
- See if your EASL candidates are applying in high numbers but not progressing to live interview.
- Spot if candidates with a disability report high satisfaction but have lower offer rates.
- Track the impact of targeted campaigns month-by-month and adjust quickly when something isn’t working.
It’s also a powerful tool to tell your success story. Celebrate wins by showing which underrepresented groups are making the biggest gains, and share that progress with boards, executives, and regulators.
Built on science, backed by trust
Powered by explainable AI and the world’s largest structured interview dataset, your insights are fair, auditable, and evidence-based.
Measuring diversity is the first step. Using that data to take action is where you close the Diversity Gap. With the Diversity Dashboard, you can prove your strategy is working and make the changes where it isn’t.
Book a demo to see the Diversity Dashboard in action.
Blog
Neuroinclusion by design. Not by exception.
Why neuroinclusion can’t be a retrofit and how Sapia.ai is building a better experience for every candidate.
In the past, if you were neurodivergent and applying for a job, you were often asked to disclose your diagnosis to get a basic accommodation – extra time on a test, maybe the option to skip a task. That disclosure often came with risk: of judgment, of stigma, or just being seen as different.
This wasn’t inclusion. It was bureaucracy. And it made neurodiverse candidates carry the burden of fitting in.
We’ve come a long way, but we’re not there yet.
Shifting from retrofits to inclusive-by-design
Over the last two decades, hiring practices have slowly moved away from reactive accommodations toward proactive, human-centric design. Leading employers began experimenting with:
- Sharing interview questions in advance
- Replacing group exercises with structured simulations
- Offering a variety of assessment formats
- Co-designing assessments with neurodiverse candidates
But even these advances have often been limited in scope, applied to special hiring programs or specific roles. Neurodiverse talent still encounters systems built for neurotypical profiles, with limited flexibility and a heavy dose of social performance pressure.
Hiring needs to look different.
Insight 1: The next frontier of hiring equity is universal design
Truly inclusive hiring doesn’t rely on diagnosis or disclosure. It doesn’t just give a select few special treatment. It’s about removing friction for everyone, especially those who’ve historically been excluded.
That’s why Sapia.ai was built with universal design principles from day one.
Here’s what that looks like in practice:
- No time limits — Candidates answer at their own pace
- No pressure to perform — It’s a conversation, not a spotlight
- No video, no group tasks — Just structured, 1:1 chat-based interviews
- Built-in coaching — Everyone gets personalised feedback
It’s not a workaround. It’s a rework.
Insight 2: Not all “friendly” methods are inclusive
We tend to assume that social or “casual” interview formats make people comfortable. But for many neurodiverse individuals, icebreakers, group exercises, and informal chats are the problem, not the solution.
When we asked 6,000 neurodiverse candidates about their experience using Sapia.ai’s chat-based interview, they told us:
“It felt very 1:1 and trustworthy… I had time to fully think about my answers.”
“It was less anxiety-inducing than video interviews.”
“I like that all applicants get initial interviews which ensures an unbiased and fair way to weigh-up candidates.”
Insight 3: Prediction ≠ Inclusion
Some AI systems claim to infer skills or fit from resumes or behavioural data. But if the training data is biased or the experience itself is exclusionary, you’re just replicating the same inequity with more speed and scale.
Inclusion means seeing people for who they are, not who they resemble in your data set.
At Sapia.ai, every interaction is transparent, explainable, and scientifically validated. We use structured, fair assessments that work for all brains, not just neurotypical ones.
Where to from here?
Neurodiversity is rising in both awareness and representation. However, inclusion won’t scale unless the systems behind hiring change as well.
That’s why we built a platform that:
- Doesn’t rely on disclosure
- Removes ambiguity and pressure
- Creates space for everyone to shine
- Measures what matters, fairly
Sapia.ai is already powering inclusive, structured, and scalable hiring for global employers like BT Group, Costa Coffee and Concentrix. Want to see how your hiring process can be more inclusive for neurodivergent individuals? Let’s chat.