define-ai-success-metrics

Name: define-ai-success-metrics
Author: alexe-ev

Define the success metrics for an AI feature covering quality, user experience, business impact, and safety. Use this skill when an AI feature needs a complete metric framework before launch.

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Updated 3 months ago

View on GitHub ↗License: MIT

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Define AI Success Metrics

Purpose

Help teams define a complete set of success metrics for an AI feature — covering model quality, user experience, business impact, and safety — so that success and failure can be measured objectively.

Skill type

Conceptual skill

Use this skill when

An AI feature is being designed and success criteria haven't been defined
A launched AI feature lacks a clear way to measure performance
Stakeholders disagree on how to evaluate the AI feature's per

[Description truncada. Veja o README completo no GitHub.]

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