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Diversity hiring and six top tips to get it working for you

To find out how to interpret bias in recruitment, we also have a great eBook on inclusive hiring.


What is workplace diversity?

While workplace diversity might once have been considered a ‘nice to have’, today it’s a ‘must-have’ for employers who recognize the value it brings to their organization, especially in the context of diversity hiring. The core idea of workplace diversity is that the people in any organization’s team should reflect the society in which we live – that is people of different genders, different ages, and different ethnic and cultural backgrounds. That seems logical and simple enough, yet achieving diversity, and especially achieving diversity hiring goals, is still a struggle for many.

What does diversity look like?

Today, workplace diversity is not just about increasing female representation and employing team members from different cultural backgrounds. While these are great goals and are central to many diversity hiring ideas, true diversity is about so much more.

Diversity can be broadly sorted into two categories:

Inherent – effectively the defining traits and characteristics we are born with – gender, ethnicity, sexual orientation, age, socio-economic background, religious and cultural backgrounds.

Acquired – reflecting our experience of the world around us and covering things like education, life knowledge, learned values and skills, socio-economic mobility, political beliefs. These are developed, earned or achieved over time.

It’s the combination of inherent and acquired traits that make people and societies diverse. This holistic view of culture, background, life experience, education, values, and perspectives is a top priority for recruiters and employers alike, emphasizing the need for effective diversity hiring platforms and tools.

What is diversity hiring?

Diversity hiring, often inquired as “what is a diversity hire?”, simply describes the processes of recruiting that support diversity in the workplace. Diversity hiring is not about increasing workplace diversity for the sake of diversity. Hiring for diversity is all about giving every candidate an equal opportunity, regardless of their background. It’s about identifying and removing any steps in the diversity hiring process in sourcing, screening, and shortlisting candidates that may allow discrimination against candidates and personal characteristics that have nothing to do with their ability to do the job such as gender, age, religion, sexual orientation and so on.

By removing biases against individuals or groups of candidates, the process of finding the best candidates to be considered for the role can be based on merit and all the qualities identified as essential for the role and the organisation.


A fairer path to recruitment considers the experience of the candidate at every single step.

From discovering an opportunity through to offer. It addresses bias, inclusivity and fairness. And ideally, it makes recruiters’ lives easier. This is explored in the Inclusive Hiring e-Book here > 


Why do you need diversity?

Diversity is embraced by companies who understand the value it brings to their business. Why diversity hiring is important is highlighted by many studies.

In their 2018 report Delivering through Diversity, McKinsey&Company found that:

  • Companies in the top-quartile for gender diversity on executive teams were 21% more likely to outperform on profitability and 27% more likely to have superior value creation. 
  • Beyond gender, companies in the top-quartile for ethnic/cultural diversity on executive teams were 33% more likely to have industry-leading profitability. This diversity included traits such as age and generation, international experience and LGBTQIA+ representation.

While McKinsey’s study was focused on US global companies, their findings are reflected in other studies, white papers and shared experiences of organisations all around the world.

They confirm that workplace diversity impacts a wide range of business metrics:

  • better performance and productivity
  • business growth
  • improved problem-solving abilities
  • increased creativity and innovation 
  • a sense of belonging that  boosts employees’ health and wellbeing 
  • fewer incidents of discrimination or harassment in the workplace
  • improved employee retention and tenure
  • enhanced reputation as an employer 

It’s what employees want too

Unsurprisingly, diversity in the workplace can be a deal maker or breaker for millennial and GenZ job seekers. Deloitte found that 83% of millennials are more engaged when they can know a company fosters an inclusive culture. 

But it’s not just the next generations. A recent survey by Glassdoor found that 67% of all candidates say it’s an important factor when considering employment opportunities while more than 50% of current employees want their workplace to do more to increase diversity, emphasizing why is diversity hiring important.

Diversity hiring laws

While there’s no doubt that diversity hiring is good for business, for any organization that doesn’t embrace diversity and hiring practices, the opposite can also be true. Apart from missing out on the benefits that diversity brings to productivity, employee satisfaction, and business reputation, employers also risk breaking the law.

Within Australia, diversity is supported by national and state laws that cover equal employment opportunity, human rights, and anti-discrimination in the workplace. It’s essential that all employers understand their own responsibilities and the rights of employees or job candidates. The cost of non-compliance can be severe while the damage to an organization’s reputation could be matched by irreparable damage to sales, business contracts, and their employer brand.

In Australia, it is unlawful to disadvantage employees and job seekers in any way because of their:

  • race
  • colour
  • gender
  • sexual orientation
  • age
  • physical or mental disability
  • marital status
  • family or carer’s responsibilities
  • pregnancy
  • religion
  • political opinion
  • national extraction (place of birth or ancestry)
  • social origin (class, caste or socio-occupational category)
  • industrial activities (such as belonging to a trade union)

Unconscious bias  – it’s a human condition

Whether innate or learned, everybody is capable of unconscious bias. Reinforced by our own personal experiences, cultural background, beliefs and world view, bias is how we feel about something – a person or group of people, an idea, a thing – and how we use those feelings to make judgements and decisions about those people or things, often instantaneously. 

Psychologists and researchers have identified over 150 types of bias that impact the way we engage, assess and interact with others. In the recruitment process that’s 150 ways that otherwise suitably qualified candidates can be overlooked, ignored, put aside or deliberately discounted. You can read more about unconscious bias in our article here.

Algorithms do the job humans can’t

Because unconscious bias is a universal and inherently human condition, it’s a problem that can’t be solved by any amount of bias training or awareness.

So if humans can’t solve the very human problem, what can be done? Sapia has solved the issue of unconscious bias in hiring by taking humans out of the process for top-of-funnel interview screening through an Artificial Intelligence enabled chat interview platform. It’s an easy way to implement data-driven decision-making with a structured and automated process that provides a level playing field for all candidates.

Six more ways to build your diversity hiring capabilities

Adopting Sapia Ai-enabled decision-making to remove bias from the early interview process is one of the easiest ways to get diversity hiring working for you. Here are some further ideas from Sapia’s team to help increase diversity in candidate sourcing, screening, and, ultimately, hiring.

1.Agree your diversity hiring goals

More female graduates in technical roles? A better cultural spread across the organization? More women in middle management? Without understanding how diversity hiring supports your business plans, how would you ever know you’re making progress? Diversity hiring strategies and initiatives should be agreed by your leadership team, documented in HR plans, and socialized among all stakeholders.

2. Develop your employer brand and policies that support diversity

Developing a reputation as an employer who values and nurtures diversity starts with your own people. Talk to your people to hear what’s important to them and understand if they think any policies (or attitudes) are holding diversity back. Talk to your team about diversity and the benefits it can bring.

Think about policies that may support more diversity in your workplace. Beyond hiring, it may be providing extra time off for community events or religious festivals, or simply providing workplace flexibility and freedom for employees to be comfortable being themselves.

The more your team buy into policies that support, value, and celebrate diversity, the more your reputation as a diversity employer will organically grow. And the more it grows, the easier diversity hiring will become… as candidates who value diversity will be lining up to work with you.

3. Use your ATS to build diverse talent pools

Sapia’s automated interview platform is designed to integrate seamlessly with leading Applicant Tracking Systems (ATS). Even before the interview process, use screening tools in the ATS to filter and sort candidates on skills, qualifications or experience alone. This blind screening to identify candidates with the best potential adds an additional layer of bias-free screening to your diversity hiring.

4. Mind your language and rethink your screening factors for diversity

Undertaking a review of past job ads can help you see where bias may have crept into your recruiting process. Is your language inclusive? Would all candidates feel they could apply regardless of age, gender or cultural background? While being careful not to actually be biased, your words can talk more directly to the candidates you want to attract and explain why they’d be a great fit for your team.

While you’re reviewing the way you reach out to candidates, also consider whether you’re screening or interviewing for the qualities you actually value most or you’re unconsciously guiding the process towards certain types or profiles. Sometimes you need to ask others to check your own bias.

5. Add some diversity into your candidate sourcing

Is it time to fish for candidates in a different talent pool? If you’re relying on the same sources and same screening factors, you’re likely to keep cultivating the same type of candidate.  Think about where and how you can connect with a more diverse candidate pool.

If you are targeting more women in specific roles, for example, find relevant interest or networking groups online or within platforms such as LinkedIn and talk to candidates directly. Ask your female employees to recommend their own connections or former colleagues and share job leads. The same principle applies to reaching out to any particular demographic or skill set and employees appreciate having their opinions and recommendations heard and valued.

6. Consider some affirmative action

Especially when you’re starting your diversity hiring journey, you may want to help things along with specific diversity programs that could offer an internship or traineeship to candidates of specific backgrounds. Consider working with local schools, colleges, or community groups to make connections and target the appropriate up-and-coming candidates. It can also be a great way to engage and motivate your own team in supporting diversity hiring goals.

Sapia: Blind screening at its best

Sapia solves bias by screening and evaluating candidates with a simple open, transparent interview via a text conversation. 

Candidates know text and trust text and questions can be tailored to suit the requirements of the role and the organisation’s brand values. Unlike competitors, Sapia has no video hookups, visual content or voice data. No CVs and no data extracted from social channels. All of which can be triggers for bias– unconscious or otherwise.  

Sapia’s solution is designed to provide every candidate with a great experience that respects and recognises them as the individual they are. People are more than their CV and candidates appreciate the opportunity to tell their story in their own words, in their own time. Sapia is the only conversational interview platform with 99% candidate satisfaction feedback. You can read more about blind screening in our article here.  


Find out more about Sapia’s AI-powered interview automation platform and how we can support your diversity hiring goals.  

You can try out Sapia’s Chat Interview right now – here – or leave us your details to get a personalised demo


Blog

New Research Proves the Value of AI Hiring

A new study has just confirmed what many in HR have long suspected: traditional psychometric tests are no longer the gold standard for hiring.

Published in Frontiers in Psychology, the research compared AI-powered, chat-based interviews to traditional assessments, finding that structured, conversational AI interviews significantly reduce social desirability bias, deliver a better candidate experience, and offer a fairer path to talent discovery.

We’ve always believed hiring should be about understanding people and their potential, rather than reducing them to static scores. This latest research validates that approach, signalling to employers what modern, fair and inclusive hiring should look like.

The problem with traditional psychometric tests

While used for many decades in the absence of a more candidate-first approach, psychometric testing has some fatal flaws.

For starters, these tests rely heavily on self-reporting. Candidates are expected to assess their own traits. Could you truly and honestly rate how conscientious you are, how well you manage stress, or how likely you are to follow rules? Human beings are nuanced, and in high-stakes situations like job applications, most people are answering to impress, which can lead to less-than-honest self-evaluations.

This is known as social desirability bias: a tendency to respond in ways that are perceived as more favourable or acceptable, even if they don’t reflect reality. In other words, traditional assessments often capture a version of the candidate that’s curated for the test, not the person who will show up to work.

Worse still, these assessments can feel cold, transactional, even intimidating. They do little to surface communication skills, adaptability, or real-world problem solving, the things that make someone great at a job. And for many candidates, especially those from underrepresented backgrounds, the format itself can feel exclusionary.

The Rise of Chat-Based Interviews

Enter conversational AI.

Organisations have been using chat-based interviews to assess talent since before 2018, and they offer a distinctly different approach. 

Rather than asking candidates to rate themselves on abstract traits, they invite them into a structured, open-ended conversation. This creates space for candidates to share stories, explain their thinking, and demonstrate how they communicate and solve problems.

The format reduces stress and pressure because it feels more like messaging than testing. Candidates can be more authentic, and their responses have been proven to reveal personality traits, values, and competencies in a context that mirrors honest workplace communication.

Importantly, every candidate receives the same questions, evaluated against the same objective, explainable frameworkThese interviews are structured by design, evaluated by AI models like Sapia.ai’s InterviewBERT, and built on deep language analysis. That means better data, richer insights, and a process that works at scale without compromising fairness.

Key Findings from the Latest Research

The new study, published in Frontiers in Psychology, put AI-powered, chat-based interviews head-to-head with traditional psychometric assessments, and the results were striking.

One of the most significant takeaways was that candidates are less likely to “fake good” in chat interviews. The study found that AI-led conversations reduce social desirability bias, giving a more honest, unfiltered view of how people think and express themselves. That’s because, unlike multiple-choice questionnaires, chat-based assessments don’t offer obvious “right” answers – it’s on the candidate to express themselves authentically and not guess teh answer they think they would be rewarded for.

The research also confirmed what our candidate feedback has shown for years: people actually enjoy this kind of assessment. Participants rated the chat interviews as more engaging, less stressful, and more respectful of their individuality. In a hiring landscape where candidate experience is make-or-break, this matters.

And while traditional psychometric tests still show higher predictive validity in isolated lab conditions, the researchers were clear: real-world hiring decisions can’t be reduced to prediction alone. Fairness, transparency, and experience matter just as much, often more, when building trust and attracting top talent.

Sapia.ai was spotlighted in the study as a leader in this space, with our InterviewBERT model recognised for its ability to interpret candidate responses in a way that’s explainable, responsible, and grounded in science.

Why Trust and Candidate Agency Win

Today, hiring has to be about earning trust and empowering candidates to show up as their full selves, and having a voice in the process.

Traditional assessments often strip candidates of agency. They’re asked to conform, perform, and second-guess what the “right” answer might be. Chat-based interviews flip that dynamic. By inviting candidates into an open conversation, they offer something rare in hiring: autonomy. Candidates can tell their story, explain their thinking, and share how they approach real-world challenges, all in their own words.

This signals respect from the employer. It says: We trust you to show us who you are.

Hiring should be a two-way street – a long-held belief we’ve had, now backed by peer-reviewed science. The new research confirms that AI-led interviews can reduce bias, enhance fairness, and give candidates control over how they’re seen and evaluated.

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Blog

AI Maturity in the Enterprise

Barb Hyman, CEO & Founder, Sapia.ai

 

It’s time for a new way to map progress in AI adoption, and pilots are not it. 

Over the past year, I’ve been lucky enough to see inside dozens of enterprise AI programs. As a CEO, founder, and recently, judge in the inaugural Australian Financial Review AI Awards.

And here’s what struck me:

Despite the hype, we still don’t have a shared language for AI maturity in business.

Some companies are racing ahead. Others are still building slide decks. But the real issue is that even the orgs that are “doing AI” often don’t know what good looks like.

You don’t need more pilots. You need a maturity model.

The most successful AI adoption strategy does not have you buying the hottest Gen AI tool or spinning up a chatbot to solve one use case. What it should do is build organisational capability in AI ethics, AI governance, data, design, and most of all, leadership.

It’s time we introduced a real AI Maturity Model. Not a checklist. A considered progression model. Something that recognises where your organisation is today and what needs to evolve next, safely, responsibly, and strategically.

Here’s an early sketch based on what I’ve seen:

The 5 Stages of AI Maturity (for real enterprises)
  1. Curious
    • Awareness is growing across leadership
    • Experimentation led by innovation teams
    • Risk is unclear, appetite is cautious
    • AI is seen as “tech”
  2. Reactive
    • Gen AI introduced via vendors or tools (e.g., copilots, agents)
    • Some pilots show promise, but with limited scale or guardrails
    • Data privacy and sovereignty questions begin to surface
    • Risk is siloed in legal/IT
  3. Capable
    • Clear policies on privacy, bias, and governance
    • Dedicated AI leads or councils exist
    • Internal use cases scale (e.g., summarisation, scoring, chat)
    • LLMs integrated with guardrails, safety reviewed
  4. Strategic
    • AI embedded in workflows, not layered on
    • LLM/data infrastructure is regionally compliant
    • AI outcomes measured (accuracy, equity, productivity)
    • Teams restructured around AI capability — not just tech enablement
  5. AI-Native
    • AI informs and transforms core decisions (hiring, pricing, customer service)
    • Enterprise builds proprietary intelligence
    • FAIR™/RAI principles deeply operationalised
    • Talent, systems, and leadership are aligned around an intelligent operating model
Why this matters for enterprise leaders

AI is a capability.And like any capability, it needs time, structure, investment, and a map.

If you’re an HR leader, CIO, or enterprise buyer, and you’re trying to separate the real from the theatre, maturity thinking is your edge.

Let’s stop asking, “Who’s using AI?”
And start asking: “How mature is our AI practice and what’s the next step?”

I’m working on a more complete model now, based on what I’ve seen in Australia, the UK, and across our customer base. If you’re thinking about this too, I’d love to hear from you.

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Blog

Beyond the Black Box: Why Transparency in AI Hiring Matters More Than Ever

For too long, AI in hiring has been a black box. It promises speed, fairness, and efficiency, but rarely shows its work.

That era is ending.

“AI hiring should never feel like a mystery. Transparency builds trust, and trust drives adoption.”

At Sapia.ai, we’ve always worked to provide transparency to our customers. Whether with explainable scores, understandable AI models, or by sharing ROI data regularly, it’s a founding principle on which we build all of our products.

Now, with Discover Insights, transparency is embedded into our user experience. And it’s giving TA leaders the clarity to lead with confidence.

Transparency Is the New Talent Advantage

Candidates expect fairness. Executives demand ROI. Boards want compliance. Transparency delivers all three.

Even visionary Talent Leaders can find it difficult to move beyond managing processes to driving strategy without the right data. Discover Insights changes that.

“When talent leaders can see what’s working (and why) they can stop defending their strategy and start owning it.”

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Metrics That Make Transparency Real (and Actionable)

 

🕒 Time to Hire

 

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What it is: The median time between application and hire.

Why it matters: This is your speedometer. A sharp view of how long hiring takes and how that varies by cohort, role, or team helps you identify delays and prove efficiency gains to leadership.

Faster time to hire = faster access to revenue-driving talent.

 

💬 Candidate Sentiment, Advocacy & Verbatim Feedback

 

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What it is: Satisfaction scores, brand advocacy measures, and unfiltered candidate comments.

Why it matters: Many platforms track satisfaction. Sapia.ai’s Discover Insights takes it further, measuring whether that satisfaction translates into employer and consumer brand advocacy.

And with verbatim feedback collected at scale, talent leaders don’t have to guess how candidates feel. They can read it, learn from it, and take action.

You don’t just measure experience. You understand it in the candidates’ own words.

 

🔍 Drop-Off Rates, Funnel Visibility & Automation That Works

 

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What it is: The percentage of candidates who exit the hiring process at different stages, and how to spot why.

Why it matters: Understanding drop-off points lets teams fix friction quickly. Embedding automation early in the funnel reduces recruiter workload and elevates top candidates, getting them talking to your hiring teams faster.

Assessment completion benchmarks in volume hiring range between 60–80%, but with a mobile-first, chat-based format like Sapia.ai’s, clients often exceed that.

Optimising your funnel isn’t about doing more. It’s about doing smarter, with less effort and better outcomes.

 

📈 Hiring Yield (Hired / Applied)

 

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What it is: The percentage of completed applications that result in a hire.

Why it matters: This is your funnel efficiency score. A high yield means your sourcing, screening, and selection are aligned. A low one? There’s leakage, misfit, or missed opportunity.

Hiring yield signals funnel health, recruiter performance, and candidate-process fit.

 

🧠 AI Effectiveness: Score Distribution & Answer Originality

 

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What it is: Insights into how candidate scores are distributed, and whether responses appear copied or AI-generated.

Why it matters: In high-volume hiring, a normal distribution of scores suggests your assessment is calibrated fairly. If it’s skewed too far left or right, it could be too hard or too easy, and that affects trust.

Add in answer originality, and you can track engagement integrity, protecting both your process and your brand.

From Metrics to Momentum

To effectively lead, you need more than simply tracking; you need insights enabling action.

When you can see how AI impacts every part of your hiring, from recruiter productivity to candidate sentiment to untapped talent, you lead with insight, not assumption. And that’s how TA earns a seat at the strategy table.

Learn more about Discover Insights here

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