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AI can determine your personality through text chat

AI personality development involves integrating human-like qualities, such as empathy and humor, into artificial intelligence systems to enhance user engagement. Ethical considerations play a critical role in its advancement to ensure responsible usage. These AI personalities possess the potential to reshape interactions between humans and AI, transforming our relationship with technology.

AI personality analysis refers to the process of examining and understanding the distinct personality traits and characteristics exhibited by artificial intelligence systems. This analysis involves evaluating how AI interacts with users, the language it uses, and its emotional intelligence, if applicable. By dissecting AI personalities, developers and researchers gain insights into their effectiveness, potential biases, and ethical implications.

Furthermore, AI personality analysis aids in tailoring AI systems to specific tasks or user preferences, ensuring they provide more personalized and engaging experiences. Ethical considerations are also paramount in this field to mitigate any unintended consequences or biases that may arise from AI’s personality traits. In summary, AI personality analysis plays a crucial role in shaping the future of human-AI interactions and advancing the responsible development of AI technologies.

MELBOURNE, July 2020: Australian AI recruitment start-up Sapia, has published peer-reviewed research validating a new AI-based approach to talent assessment that determines personality and job suitability through text.

Personality assessments have long been used to supplement CV data. It is widely accepted that one’s personality can be a predictor of job performance and suitability. Thus, Sapia uses structured text-based interviews, NLP, and machine learning to identify personality traits by analysing text answers to questions related to the job being applied for.

Every candidate gets a “chat based smart interview”. As no demographic data is gathered from other sources such as CVs, the process is blind to gender, race and characteristics that are not relevant in candidate selection. The research validates the accuracy of Sapia’s AI approach. Lastly, it also signals a huge improvement to personality tests, where the candidate experience is underwhelming.

Also Know, Personality AI refers to the use of artificial intelligence (AI) technologies to analyze and understand human personality traits, tendencies, and behavior patterns. This field of AI has gained significant attention in recent years, as businesses and organizations seek to better understand their customers, employees, and other stakeholders.

From the leadership at Sapia

Barbara Hyman, Sapia (Formerly PredictiveHire) CEO says chat-based interviews address the three big failures of current assessments – ghosting, bias and trust.

“Recruiters are the ultimate ghosters,” Ms Hyman says. “With Sapia, the fact that every single candidate receives a personalised learning profile is gold for candidates and your employer brand. Using text to analyse fit that’s blind to gender, race, age and any personal factors is a must-have in today’s current climate and means every company can introduce bias interruption for every hire and promotion. Imagine what that will do to diversity in hiring”

Principal Data Scientist Buddhi Jayatilleke says “language has long been seen as a source of truth for personality- it defines who we are.  This technology offers a direct way to understand personality from language. All is done by using an experience that is human and empowering. Additionally, this capability can be used for assessment and personalised career coaching. Furthermore, it could be a game changer for job seekers, universities, and employers.”

Candidates across 34 countries have experienced Sapia’s unique chat-based interviews. More insight into how the technology works can be found here. https://sapia.ai/science-explained/

About Sapia

Sapia (Formerly PredictiveHire) is a team of data scientists, engineers and HR professionals. Together we have built a product suite that is based on science and built to humanise hiring. Sapia believes that relying on data to drive your most important decisions. Who you hire/ promote, enhances trust and confidence  that decisions are fair. We also serve customers in the UK, South Africa, India Australia, and New Zealand.


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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.

 

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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.

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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. 

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