How to Interview Candidates in the Age of AI: The 20 Minute Achievement Deep Dive

According to a recent survey reported by HRD America, one in five employees admit to using AI during job interviews. From generating answers to common behavioural questions to researching employers and rehearsing responses, AI is rapidly changing how candidates prepare for interviews. While this level of preparation can help candidates present themselves more effectively, it also creates a new challenge for employers: how do you identify genuine experience when candidates arrive with increasingly polished and rehearsed answers?

How to Interview Candidates in the Age of AI

The reality is that AI isn't the problem. Preparation has always been part of the hiring process. Strong candidates research companies, practise interviews, and seek advice from mentors. AI has simply made that process faster, more accessible, and significantly more effective.

The challenge isn't that candidates are using AI. The challenge is that many interviewers are still relying on interview techniques that stopped working years ago. When candidates have rehearsed answers to predictable questions, it becomes harder to separate those who genuinely led projects from those who can simply tell a compelling story.

In this article, we'll explore why traditional interviews are becoming less effective, how a simple 20 minute achievement deep dive can reveal genuine ownership and business acumen, and why structured scorecards matter more than ever in the age of AI.

Interviewing in the Age of AI: The New Challenge for Hiring Managers

Candidates have never been better prepared. AI is helping job seekers create stronger CVs, optimise LinkedIn profiles, tailor applications to specific roles, and rehearse interview responses. Candidates can instantly generate behavioural interview answers, refine their examples using the STAR framework, and practise responses before ever speaking to a hiring manager.

In many ways, this is a positive development. Better prepared candidates often communicate more clearly and present their experience more effectively. Interviews become more focused and productive.

The challenge is that preparation and capability are not the same thing. When everyone arrives with polished examples and carefully structured answers, candidates can start to sound remarkably similar. Everyone appears strategic. Everyone claims ownership. Everyone talks about driving change, influencing stakeholders, and delivering measurable business outcomes.

For hiring managers, the signal becomes harder to find. This is particularly true when candidates discuss achievements. AI can help someone transform a vague experience into a compelling story. It can help structure examples, improve language, and even suggest metrics that make an achievement sound more impactful.

As a result, interviews increasingly reward presentation skills. The risk is that organisations end up hiring the best storyteller rather than the most capable person.

The problem isn't that candidates are using AI.

The problem is that many interviews still rely on techniques that stopped working years ago.

Why Traditional Interviews Are Failing

Most interviews still follow the same formula they have used for years.

Tell me about a difficult stakeholder.

Tell me about a challenge you overcame.

Tell me about a project you're proud of.

The problem isn't the questions themselves.

The problem is that most candidates know exactly what's coming.

By the time a strong candidate reaches the interview stage, they may have practised those answers dozens of times. They've discussed them with mentors, recruiters, friends, coaches, and increasingly, AI tools.

The interviewer asks the question.

The candidate delivers a polished answer.

The interviewer takes a few notes.

Then everyone moves on.

Unfortunately, this approach rarely tells you very much. It reveals that the candidate has prepared. It doesn't necessarily reveal how deeply they understand the work they claim to have done.

This is one of the reasons hiring mistakes continue to happen. Organisations often evaluate the headline rather than the substance behind it. Most interviewers spend an hour discussing ten achievements. The best interviewers spend twenty minutes understanding one.

The 20 Minute Achievement Deep Dive

20 Minute Achievement Deep Dive

One of the most effective ways to interview candidates in the age of AI is surprisingly simple.

Instead of asking ten behavioural questions during a one hour interview, spend twenty minutes exploring a single achievement in depth.

Ask the candidate to identify a project, initiative, or accomplishment they are particularly proud of.

Then stay there. Resist the temptation to jump to another competency or another example. 

The goal is to understand how deeply they understand the work they claim to have done.

People who genuinely led a project remember the details. They remember why the project started, the frustrations they encountered, the resistance they faced, the decisions they made, and the lessons they learned.

Real experience leaves fingerprints. The deeper you go, the more difficult it becomes to rely on a rehearsed answer. Many hiring managers worry that spending twenty minutes on a single achievement won't provide enough information.

In reality, one meaningful achievement often reveals more than ten surface level examples.

A single project can expose how a candidate:

• Solves problems

• Makes decisions

• Influences stakeholders

• Responds to setbacks

• Measures success

• Creates business value

The goal isn't breadth.

It's depth.

What a Deep Dive Looks Like in Practice

Imagine you're interviewing a Head of People candidate.

You ask:

"Tell me about an HR initiative you're particularly proud of."

The candidate responds:

"I redesigned our onboarding programme, which improved new hire retention by 25%."

Many interviewers would note the result and move on.

Instead, spend the next twenty minutes unpacking the achievement.

What prompted the project?

What specifically was broken?

How did you determine those were the root causes?

Who resisted the changes?

How did you gain buy in?

What obstacles emerged during implementation?

What didn't work as expected?

What would you do differently today?

The exact questions matter less than the depth of the conversation.

Some of the most revealing questions include:

• What was broken before the project started?

• What decision were you personally responsible for?

• What went wrong?

• What trade offs did you make?

• What would you change if you had to do it again?

After twenty minutes, you've learned far more than whether the candidate can tell a compelling story.

You've uncovered how they think. And that's what you're actually hiring.

Can They Defend the Achievement?

This is where many interviews should spend far more time.

One of the biggest changes AI has brought to interviewing is that candidates are becoming exceptionally good at packaging achievements.

Today, almost every candidate arrives with a list of impressive metrics.

Reduced turnover by 20%

Increased engagement by 15%

Improved productivity by 25%

On the surface, these achievements sound compelling. But numbers alone don't prove ownership. Anyone can quote a metric. What matters is whether they can defend it.

This is where the deep dive becomes invaluable. When a candidate presents a result, don't stop at the headline. Keep digging.

How was that number measured?

What was the baseline?

Who tracked the data?

What other factors may have contributed?

Why was that result important to the business?

How did the improvement affect the organisation?

The strongest candidates rarely struggle with these questions. Because they lived the experience. They understand where the number came from. They understand how success was measured. And they understand why the outcome mattered.

More importantly, they can connect the achievement to broader business objectives. For example, a candidate discussing reduced employee turnover shouldn't simply quote a percentage improvement.

They should be able to explain how turnover was affecting hiring costs, manager workload, productivity, employee engagement, customer service, or business growth.

Likewise, a Sales Director shouldn't simply discuss revenue growth. They should be able to explain how that growth affected profitability, market share, customer retention, or strategic objectives.

This is often where the strongest candidates separate themselves.

They don't just understand the project. They understand the business problem the project was designed to solve. They can connect operational decisions to commercial outcomes.

They understand the relationship between actions and results. Anyone can memorise a metric. Far fewer people can explain the story behind it.

Use Interview Scorecards to Capture Evidence, Not Impressions

Conducting a strong interview is only half the challenge.The second challenge is evaluating what you've learned in a structured and consistent way.

This becomes even more important in the age of AI. When candidates arrive highly prepared and polished, it's easy to be influenced by confidence, communication style, or how well a story is told.

The purpose of a scorecard isn't simply to record notes. It's to ensure interviewers are evaluating candidates against the competencies that genuinely matter for success in the role. As we discussed in our article Interview Scorecards: The Secret to Smarter Hiring, the best scorecards are tailored to the position rather than using a one size fits all approach.

For example, if you're hiring a Head of HR, your scorecard might look something like this:

Competency Weighting

Stakeholder Management 30%

Strategic Thinking 25%

Change Management 20%

Problem Solving 15%

Communication 10%

Now imagine the candidate spends twenty minutes discussing an onboarding transformation project. Instead of simply writing:

"Strong example. Good communicator."

The interviewer evaluates the evidence against each competency.

Did the candidate successfully influence resistant stakeholders?

Did they connect the initiative to business objectives?

Did they demonstrate strategic thinking?

How effectively did they solve the underlying problem?

This creates a much more objective discussion during the hiring process. It also prevents one impressive story from disproportionately influencing the final decision. Most importantly, it ensures you're hiring for the capabilities the role requires rather than the candidate's ability to tell a compelling story.

The deep dive helps you uncover evidence. The scorecard helps you assess whether that evidence aligns with the requirements of the role.

Conclusion

AI has undoubtedly changed the way candidates prepare for interviews, but it hasn't changed what employers ultimately need to assess. Great hiring decisions still come down to understanding how candidates think, how they solve problems, how they influence others, and how they create value for the business.

Candidate preparedness

The solution isn't trying to catch candidates using AI. It's becoming better at uncovering genuine experience. By spending twenty minutes exploring a single achievement, asking deeper questions, and challenging candidates to explain the business impact behind their results, hiring managers can gain a much clearer picture of a candidate's true capabilities.

If you're looking to strengthen your hiring process further, explore some of our most popular resources on Perennial HR Asia. Our article Interview Scorecards: The Secret to Smarter Hiring explains how structured evaluations improve hiring consistency and reduce bias. You can also read 7 Steps to Keep Candidates Engaged During the Interview Process or 8 Signs your top talent is about to leave