Launch Metrics Dashboard and Success Criteria
Know in advance what success looks like.
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Define launch success metrics. Product or feature: [PRODUCT_OR_FEATURE]. Launch goals: [LAUNCH_GOALS]. Baseline data: [BASELINE_DATA]. Produce a table: Metric | Why it matters | Definition | Baseline | Target (30 days) | Target (90 days) | Source | Owner | Alert level. Include awareness (visits, mentions), adoption (activation, usage of the feature among eligible users), quality (errors, support tickets per 1,000 users), satisfaction (survey score), and business (conversion, revenue). Distinguish leading and lagging indicators. Add a daily check routine for the first two weeks, a weekly review for the first quarter, and a decision at day 30 (continue, adjust, or reconsider). Show an example calculation of adoption rate (users who used the feature / eligible users) with my numbers if given. Warn against celebrating vanity metrics. Mark which metrics are decision metrics (they change what we do) and which are informational, set alert thresholds in numbers, and define the date of the first formal review and who attends.
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