Teach your AI recruiter (Video)

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Summary

Every score comes with its reasons. If you think your AI recruiter got a candidate wrong, click the thumbs down under How did I do?, give the score you'd give, and say why in a sentence or two. After five pieces of feedback on a job, it adds what it learned to that job's evaluation criteria, where you can read and edit it. Feedback shapes future scores; a thumbs up helps too.

Chapters

  • 0:00 Introduction
  • 0:04 Read the reasons
  • 0:13 Thumbs down
  • 0:18 Your score and why
  • 0:23 It learns every five
  • 0:33 Thumbs up too

Transcript

Here's how to teach your AI recruiter what you look for.

Every score comes with its reasons. This candidate got a three point three, because his resume shows mechanical work but no PLCs.

Think it got him wrong? Under How did I do, click the thumbs down.

Give the score you'd give him, and say why in a sentence or two, the way you'd coach a new recruiter.

After five pieces of feedback on a job, your AI recruiter adds what it learned to that job's evaluation criteria, where you can read and edit it.

Feedback shapes how it scores candidates from here on. And when it gets one right, a thumbs up helps too.

Up next: job slots, drafts, and your plan.