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ai-assisted-performance-review

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Evaluate performance fairly when output is AI-assisted — what still measures the human, what now measures the tooling, and how to run the review conversation. Use when reviewing someone whose work is heavily AI-assisted, when output volume stopped meaning anything, when calibrating a team with uneven AI adoption, or when writing review criteria for the AI era. Produces review guidance: a what-measures-whom analysis, rewritten criteria, calibration rules for mixed-adoption teams, and conversation scripts. For the general review document use performance-review; for redesigning the role itself use role-redesign-for-ai.

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Nov 10, 2026
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# AI-Assisted Performance Review Skill

The uncomfortable review question of the decade: when a report ships twice the output with AI, what did *they* do? Volume stopped measuring effort; polish stopped measuring skill. Punishing AI use is as wrong as crediting the model's work to the human. This skill separates the signals — and gives managers the conversation, not just the theory.

## What This Skill Produces

- A **what-measures-whom analysis** of the role's current evaluation criteria
- **Rewritten criteria** that measure the human: judgment, verification, outcomes, leverage
- **Calibration rules** for teams with uneven AI adoption
- **Conversation scripts** for the three hard cases

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