metric-mandate-claude
Define measurable baselines, targets, evaluation dates, and stop conditions before building AI projects.
Define measurable baselines, targets, evaluation dates, and stop conditions before building AI projects.
The Metric Mandate guides an AI project through five concrete decisions: the number that should change, its current baseline, the minimum worthwhile improvement, when it will be measured, and what outcome should stop the project. It rejects vague answers and stress-tests whether a metric can be improved without solving the real problem. The result is a concise table of success criteria and metric gameability before implementation begins.
Resource types
Use cases
Platforms
Runtime
Turn process interviews into editable BPMN-style draw.io swimlanes.
Synthesize tailored product advice from five relevant podcast experts.
Public GitHub facts last synced Jul 10, 2026.
Covers AI product work from strategy through governance.
Turn connected-hardware ideas into engineering specs and presentation materials.