Episode
The Hidden Flaw in Your Interview Rubrics — And How Brex, Hudl, and EvenUp Fixed It
- Podcast
- AI HR Daily by OVI
- Published
- Sep 8, 2026
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Summary
Seventy-two percent of companies use structured interviews. But when two interviewers score the same candidate a 4 out of 5 and a 2 out of 5 on leadership — using the same rubric, in the same round — the rubric exists. The calibration doesn't. That's the calibration gap, and it's where hiring quietly falls apart. In this episode, we look at how Brex, Hudl, and EvenUp are using AI-powered rubrics not just to define competencies, but to actively calibrate how every single interviewer evaluates candidates. Brex gave interviewers shared scoring anchors that removed ambiguity before the conversation even started. Hudl used AI coaching to bring 467 interviewers across 20 countries to a single evaluation standard. And EvenUp uncovered a blind spot in their own rubric — a missing competency that was quietly filtering out strong candidates before anyone realized it. We also break down how AI rubrics actually work: the three phases of pre-calibration, real-time interview guidance, and post-interview analytics that flag scoring drift before it becomes a systemic pattern. Plus, the downstream numbers — 35% fewer interviews per hire, cross-functional hiring alignment that's four times stronger, and a 61% reduction in bias effects. And three practical steps to start auditing your own calibration gap this week, whether you have 467 interviewers or four.