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| Criterion |  Product Strategy KPI Tree |  Product Discovery Smoke Test |  Growth North Star Metric |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | When metrics across the organization drift apart, it arranges drivers and effects under one shared logic. It connects customer value, product logic, and decision priorities. The result is captured as a KPI tree and owner list. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | When product teams track many metrics, the view of the actual customer outcome easily gets lost. A North Star Metric bundles growth, usage, and value contribution into one signal that makes the system's direction visible. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | 90-180 min initial, dann laufend | 1-5 Tage | 1-2 h | 1-5 Tage |
Participantsdifferent | 3-8 | Nutzertraffic | 3-8 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | KPI Tree, Owner List | Interest Metrics, Conversion Signal, Learning Note | North Star metric, Input metric tree, Measurement cadence | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | MetricsStrategyAlignmentMeasurement | ValidationExperimentsDemandGrowth | GrowthMetricsAlignmentRetention | ValidationExperimentsDemandDiscovery |