February 15
By Gina Brehmer
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Let’s be honest.
Resumes have never looked better.
Interview answers have never sounded smoother.
Everything aligns beautifully with the job description.
And yet… some hires still fall flat.
More hiring managers are telling us the same thing:
“The interview was great. The resume was strong. But the performance didn’t match.”
AI has changed how candidates present themselves. Job descriptions get uploaded and turned into tailored resumes in seconds. Interview answers can be polished, even during the interview.
Stretching the truth isn’t new.
But AI makes it easier and harder to spot.
So, the real question becomes:
How do you know what’s real?
We’ve always known resumes aren’t the full story.
Now, they’re even less so.
AI can write compelling bullet points. It can mirror language from your job description. It can make someone sound strategic and polished.
Studies show that roughly 1 in 3 candidates admit to stretching the truth on resumes or in interviews and many still receive offers. But…
AI doesn’t create dishonesty.
It amplifies it.
The bottom line…experienced recruiters no longer treat resumes as proof. They treat them as a starting point. They dig in to find the real story during the interview process!
What AI can’t do well?
Recreate lived experience.
When someone has truly done the work, they can talk about:
That kind of depth is difficult to fake, especially when you ask follow-up questions.
Traditional Interviews are not cutting it anymore. Especially in a virtual setting where AI tools are easily accessible.
Generic questions invite rehearsed answers.
Strong interviews should be structured, scenario-based, and designed to test how someone thinks and solves problems.
“What’s your greatest strength?”
“Tell me about yourself.”
Those are easy to rehearse.
Instead, ask questions that force real thinking:
“Walk me through a high-pressure situation you handled. What happened? What did you do? What was the result?”
Then go deeper.
“What would you do differently?”
“What was the hardest decision in that moment?”Candidates with real experience can easily respond with details.
Those who are relying on perfectly polished AI responses often can’t.
The goal isn’t to police candidates.
It’s to validate performance.
The best way to do that?
When someone has to apply their skills in real time, the truth shows up quickly.
Strong hiring processes today are structured, consistent, and focused on execution, not just conversation.
It’s not about AI.
It’s about trust.
You don’t just need someone who interviews well.
You need someone who can actually perform.
That takes deeper vetting, better questions, and smarter validation.
At Dawson & Dawson, we’ve adjusted our approach to match today’s reality.
We don’t rely on resumes alone.
We don’t rely on surface-level interviews.
We verify experience.
We go deeper into behavioral conversations.
We validate skills in ways that reflect the real job.
Because a polished presentation is easy.
Proven performance is not.
And that’s what your team deserves.
Hiring managers often ask this directly. The better framing is:
It’s difficult — and often counterproductive — to try to “detect AI.”
Instead, validate experience through:
Follow-up probing questions
Scenario-based interviews
Live skill assessments
Asking for specific examples of decisions, trade-offs, and lessons learned
The focus should shift from detection to verification.
This is a high-intent query tied to resume fraud and hiring risk.
Effective strategies include:
Structured behavioral interviews
Asking candidates to walk through real projects in detail
Requesting technical or strategic walkthroughs
Using work samples or case studies
Implementing clear, competency-based scoring criteria
Depth exposes exaggeration quickly.
Many hiring managers are actively searching for this.
High-performing alternatives to generic questions:
“Walk me through a high-pressure situation you handled. What specifically did you do?”
“What was the hardest decision you made and why?”
“What trade-offs did you consider?”
“What would you do differently now?”
Questions that force reflection and specificity are harder to fake.