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Snapshot Nov 3, 2026 · 00:12 UTC · version 0.2.0
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{
"description": "Define product success metrics, funnels and experiments with trustworthy measurement specifications.",
"included_files": [],
"name": "define-metrics",
"skill_md_contents": "---\nname: define-metrics\ndescription: Define product success metrics, funnels and experiments with trustworthy measurement specifications.\n---\n\n# Define Metrics\n\n## When to use\nDefine product success metrics, funnels and experiments with trustworthy measurement specifications.\n\n## Workflow\nChoose a metric tied to user value and needed guardrails. Specify event source, entity, denominator, cohort and time window. Design event taxonomy for the core journey, data validation and attribution boundaries. For experiments define hypothesis, test design, likely confounders, decision criteria and an ethical privacy-aware data-collection plan.\n\nUse `../../templates/measurement-plan.md` and `../../references/product-metrics.md`. No claims of expected uplift or market evidence without actual data.\n\n## Deliverable and truthfulness\nLead with the decision or result, then show supporting evidence, explicit assumptions, risks, and a concrete next step. Adapt depth to the user's ask. If required tools or source material are missing, disclose the limit; do not simulate inspection, implementation or research. Never write/modify/deploy without relevant authorization.\n\nRelevant reference: `../../references/product-metrics.md`.\n"
}SHA-256 of public snapshot: 930001542aaca99eb2bb7e80055802020370b38d828e2a355c84f8674f33e450