AI Performance Reviews

Performance review season is high-stakes and time-consuming, for the person writing their self-review and the manager running calibration. This course has two tracks: pick the one that matches your role, or do both.

What you'll learn (Associate track): Turning a year of scattered work into evidence, framing impact with the STAR method, writing a self-review in your org's tone, and prepping for the review conversation itself.

What you'll learn (Manager track): Aggregating peer feedback, calibrating fairly across a team, writing feedback that's specific and defensible, and handling low-performer documentation.

Who this is for: Any employee going through a review cycle, either writing their own review or running one for their team.

What you walk away with: A complete self-review draft (Associate track) or a full review cycle for your team (Manager track), built from your own real notes.