#105: Rethinking Job Interviews in the AI Era

Are your job interviews giving you clear evidence of who can do the job? In Textio’s State of Interview Intelligence report, candidates were eight times more likely than employers to rate the interview experience poorly. That gap raises a question for recruiting teams buying AI tools. Which parts of the interview process are worth speeding up, and which need to be redesigned?

Matt Alder, host of Recruiting Future, joins me for a little Alder Hour reunion to dig into the report. We talk about what recruiters can learn from interview data, from spotting questions that get vague answers to seeing whether the skills they assess show up on the job. We also get into candidate fraud, why interview nerves can be easy to misread, and how employers can distinguish AI-assisted preparation from cheating.

What you’ll learn

• What interview intelligence can reveal about the quality of your interview questions
• How to use interview data to evaluate consistency and look for links to on-the-job performance and retention
• Why Matt would move some skills assessments earlier in the hiring process
• How to distinguish AI-assisted preparation, cheating, and candidate fraud
• Where AI can miss context and where human judgment can introduce bias

Sponsor & Resources

• Download the State of Interview Intelligence Report: https://workfluencerpodcast.com/textio
• Listen to the Recruiting Future Podcast: https://recruitingfuture.com/
• Subscribe to my Newsletter: ⁠https://link.rhonapierce.com/newsletter2

Connect with Us:

• Connect with Matt: https://www.linkedin.com/in/mattalder/
• Connect with Rhona: https://www.linkedin.com/in/rhonabarnettpierce

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