When interviewing, asking the right questions can open the door to genuine insights and a better interview experience. So, which questions truly resonate with candidates? Our latest research, led by the Data Scientists at Sapia Labs, reveals the top five questions that candidates appreciate the most from our Chat Interview experience, that over 5 million candidates from 47 countries have completed.
Why is asking the right questions important?
The Live Interview is crucial to volume hiring. Having the opportunity to meet for the first time, to extend the connection already created online – it’s almost like the first date of the volume hiring experience. Showing up unprepared or asking questions that candidates can’t engage with is a waste of everyone’s time.
Asking questions candidates actually enjoy
Interviews can go sideways – either candidates feel like they’ve been part of a scripted exercise, where standard questions that don’t engender creativity or imagination are rolled out one by one; or, if the interviewer is underprepared, questions can appear out of the blue and feel largely irrelevant to the role.
But certain questions break the mould—they encourage authenticity, spark reflection, and sometimes even pride. Rather than prompting canned responses, these questions invite candidates to share real experiences that shaped them. After analysing feedback from thousands of candidates, here are the five most-loved interview questions and why they matter.
- Making a Difference
“Tell us about a time you went out of your way to make a difference for someone and improved their day.”
Why candidates love it: It’s a chance to talk about something positive they’ve done. People enjoy reflecting on moments that mattered, whether big or small, and this question lets them share proud memories. For the hiring team, it reveals a candidate’s potential to bring kindness, positivity, and empathy to your team and customers.
- Handling Difficult People
“Have you ever dealt with someone difficult? How did you handle the situation? Feel free to share examples from work, school, or any group activity.”
Why candidates love it: We’ve all had tough encounters, and this question lets candidates share how they navigated those situations. Their response can reveal resilience, tact, or empathy. Plus, every workplace has its challenges—this question lets them show their approach to handling them.
- Driving Change
“Tell us how you have been proactive in driving change that had a lasting impact.”
Why candidates love it: Everyone has had moments when they took initiative, big or small. This question gives candidates a chance to reflect on those times when they went beyond the status quo and made a real difference. It also reveals whether they see themselves as someone who can step up to make things better.
- Missing Deadlines
“Describe a time when you missed a deadline or personal commitment. How did that make you feel?”
Why candidates love it: This question is refreshingly human. We’ve all missed deadlines, and this question creates space for honesty, vulnerability, and growth – without the awkwardness of the classic “what are your weaknesses?” angle. It’s less about the setback itself and more about how a candidate understands, reflects and moves forward from it.
- Team Support
“Tell us about a time when you rolled up your sleeves to help out your team or someone else.”
Why candidates love it: This question highlights the power of teamwork. Candidates get to share the moments they stepped up and supported others. It shows both teamwork and leadership potential, indicating if this candidate is someone who’ll contribute something bigger than their individual tasks.
Why these questions are impactful
These interview questions tap into values that are universally meaningful. Candidates don’t just want to list their skills; they want to share stories that matter to them. When you ask questions like these, you’re inviting candidates to reflect on personal moments of challenge, motivation, and connection. They get to walk away feeling heard and appreciated – before they’ve even received a job offer.
Interviews, whether face to face or via chat, should be a positive experience for candidates. They’re a chance to connect with the person behind the application. That’s why we built our online assessment Chat Interview on a foundation of questions like these. So the first experience a candidate has with your brand is one of genuine connection.
Why you should consider questions like these in your interviews
Incorporating these questions shows candidates that you value their unique experiences. By making small adjustments to the questions you ask, you create a space where candidats can open up and share more meaningful responses. And that’s the first step in finding candidates who genuinely fit with your team and culture. Shifting to questions that candidates love can elevate your interview process, leaving candidates feeling inspired and excited about the prospect of working with you.
Transforming Interviews, One Question at a Time
This research underscores a core belief we hold: Interviews are an experience, not just an assessment. A good interview reveals job-related skills while also building trust and creating advocates for your brand.
At Sapia.ai, we know interviewing. Whether that’s giving your candidates an engaging interview over chat as their first experience with your brand; or enabling your team to conduct better live interviews, our platform enhances the end to end volume hiring process.
We’re proud to champion a new way of interviewing that prioritises candidate experience and genuine connection. After all, when candidates feel good about the questions you ask, they’re more likely to bring their best selves – helping you find the people that belong with your brand..
Curious to learn more? Get in touch to see how we’re reshaping hiring into a more human, meaningful experience – one great question at a time.
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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.
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Situational Judgement Tests vs. AI Chat Interviews: A Modern Perspective on Candidate Assessment
Choosing the right tool for assessing candidates can be challenging. For years, situational judgement tests (SJTs) have been a common choice for evaluating behaviour and decision-making skills. However, they come with limitations that can make the hiring process less effective and less inclusive.
AI-enabled chat-based interviews, such as Sapia.ai, provide organisations with a modern alternative. They focus on understanding candidates as individuals and creating a hiring experience that is both fair and insightful while enabling efficient screening and selection.
This shift raises important questions: Are SJTs still a tool that should be considered for volume hiring? And what do AI assessments offer in comparison?
1. The Static Nature of SJTs
Traditional SJTs use predefined multiple-choice questions to assess behavioural tendencies and situational knowledge. While useful for screening, these static frameworks lack the flexibility to adapt based on real-world performance data or evolving role requirements.
Once created, SJTs don’t adapt to new data or evolving organisational needs. They rely on fixed scenarios and responses that may not fully reflect the dynamic realities of modern workplaces, and as a result, their relevance may diminish over time.
AI-enabled chat interviews, on the other hand, are inherently adaptive. Using machine learning, these tools can continuously refine their models based on feedback from real-world outcomes such as hiring or turnover data. This ability to evolve ensures the assessments align with organisations’ needs.
2. Richer Data Through Open-Ended Responses
One of the main critiques of SJTs is their reliance on multiple-choice responses. While structured and straightforward, these options may not capture the full scope of a candidate’s thinking, communication skills, or problem-solving ability. The approach is often limiting, reducing complex human behaviour to a few predefined choices.
AI-enabled chat interviews work more holistically and dynamically. These tools provide a more complete picture of a person by allowing candidates to answer questions in their own words. Natural language processing (NLP) analyses their responses, offering insights into personality traits, communication skills, and behavioural tendencies. This open-ended format lets candidates express themselves authentically, giving employers a deeper understanding of their potential.
3. The Candidate Experience: Stressful or Supportive?
SJTs often include time constraints and rigid formats, which can create pressure for candidates. This is especially true when candidates feel forced to choose options that don’t fully reflect how they would actually behave. The process can feel impersonal, even transactional.
In contrast, chat-based interviews are designed to be conversational and low-pressure for candidates. By removing time limits and adopting a familiar chat interface, these tools help candidates feel more at ease. They also frequently include personalised feedback, turning the assessment into a valuable experience for the candidate, not just the employer.
4. Addressing Bias and Fairness
Traditional SJTs are prone to transparency issues, as candidates can often identify and select the “best practice” answers without revealing their true tendencies. Additionally, static test designs can unintentionally embed bias; due to the nature of the timed test, SJTs have been found to disadvantage some groups.
AI chat interviews, when developed ethically within a framework like Sapia.ai’s FAIR Hiring Framework, eliminate explicit bias by relying solely on the content of a candidate’s responses. Their machine learning models are continuously validated for fairness, ensuring that hiring decisions are free from subjective judgments or irrelevant demographic factors.
5. An Assessment That Improves Over Time
Workplaces are constantly changing, and hiring tools need to keep up. SJTs’ fixed nature can make them less effective as roles evolve or organizational priorities shift. They provide a snapshot but not a dynamic view of what’s needed.
AI-enabled chat interviews are built to adapt. With feedback loops and continuous learning, they incorporate real-world hiring outcomes—like retention and performance data—into their models. This ensures that assessments stay relevant and effective over time.
Rethinking Candidate Assessment
As hiring demands grow more complex, so does the need for tools that can capture the whole person, not just their response to hypothetical scenarios. While SJTs have played an important role in hiring practices, they are increasingly being replaced by tools like AI-enabled chat interviews.
These modern approaches provide richer data, adapt to changing needs, and create a richer and more engaging experience for candidates. Perhaps most importantly, they emphasise fairness and inclusivity, aligning with the growing demand for unbiased hiring practices.
For organisations evaluating their assessment tools, the question isn’t just which method is “better.” Understanding the specific needs of your roles, teams, and candidates will help you choose tools that help you make decisions that are both informed and equitable.
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Keeping Interviews Real with Next-Gen AI Detection
It’s our firm belief that AI should empower, not overshadow, human potential. While AI tools like ChatGPT are brilliant at assisting us with day-to-day tasks and improving our work efficiency, employers are increasingly concerned that they’re holding candidates back from revealing their true, authentic selves in online interviews.
As an assessment technology provider, we are responsible for ensuring the authenticity and integrity of our platform. That’s why we’re thrilled to unveil the latest upgrade to our flagship Chat Interview: the AI-Generated Content Detector 2.0. With groundbreaking accuracy and a candidate-friendly design, this innovation reinforces our mission to build ethical AI for hiring that people love.
Artificially Generated Content (AGC) is content created by an AI tool, such as ChatGPT, Claude, or Pi. We initially rolled out the first version of our AGC detector last year and have continued to improve it as our data set has grown and these AI tools have evolved.
What’s New?
Our updated AGC Detector 2.0 achieves an impressive 98% detection rate for AI-assisted responses, with a false positive rate of just 1%. This gives organisations peace of mind that they’re getting the most authentic assessment of every candidate.
This cutting-edge system builds on Sapia.ai’s proprietary dataset of over 2 billion words, derived from more than 20 million interview question-answer pairs spanning diverse roles, industries, and regions. It’s trained on real-world data collected before and after the release of tools like ChatGPT, ensuring it remains robust and reliable even as AI tools evolve.
The Challenge of AI in Chat-based Interviews
Our data shows that around 8% of candidates use tools like GPT-4 to generate responses for three or more interview questions. While these tools may offer a quick way for candidates to complete their interview, they can inadvertently hide a person’s true personality and potential – qualities our customers are most interested in understanding through our platform. In fact, research from Sapia Labs shows that these tools have their own personality traits, which may be quite different from the candidate applying for the role.
For Candidates: Enabling Authenticity
When a response is flagged as potentially AI-generated, the system doesn’t disqualify candidates. Instead, a real-time warning pops up, allowing them to revise their answers or submit them as-is. This ensures that candidates are encouraged to present themselves authentically, reflecting their unique communication styles and sharing their genuine experiences.
For Hiring Teams: Actionable Insights
Responses flagged as AI-generated are highlighted in the candidate’s Talent Insights profile, accessible via Sapia.ai’s Talent Hub or ATS integrations. These insights give hiring teams the transparency to make informed decisions, fostering trust while accelerating hiring timelines.
Built on Unmatched AI Interview Expertise
“Our detection model’s strength lies in its foundation of real-world interview data collected from diverse roles and regions,” says Dr Buddhi Jayatilleke, Sapia.ai’s Chief Data Scientist. This depth of understanding enables the AGC Detector to maintain its industry-leading accuracy – even when candidates subtly modify AI-generated answers to appear more human.
Why This Matters
The AGC Detector 2.0 embodies Sapia.ai’s commitment to ethical AI that amplifies human potential. As our CEO Barb Hyman explains:
“The hiring landscape has fundamentally changed since ChatGPT, but our commitment remains clear: AI should amplify human potential, not penalise it. This breakthrough fosters authentic hiring conversations. Our real-time warning system helps candidates make better choices and gives enterprises confidence in their selection decisions.”
Testing and Validation of the AGC Detector 2.0
The new detector has been rigorously tested on over 25,000 interview responses generated by humans and leading AI models like GPT-4, Claude-3.5, and Llama-3. The results speak for themselves, reinforcing the reliability and fairness of this game-changing technology.
Fairness & Transparency in AI-Enabled Hiring
By detecting AI-generated content while allowing candidates to correct their responses, our AGC Detector 2.0 ensures every applicant has the chance to put their best, most authentic foot forward when applying for a role powered by Sapia.ai. For enterprises, it provides confidence in the integrity of their hiring decisions and ensures they’re connecting with real candidates at scale.