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| Criterion |  Product Discovery Smoke Test |  Growth North Star Metric |  Engineering Goal Question Metric |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | 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. | Helps clarify technical problems, hypotheses, and next steps in concrete terms. It breaks a technical problem into testable parts. The result is captured as a GQM table and metric briefs. | 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 | Low | Medium | Medium | Medium |
Timedifferent | 1-5 Tage | 1-2 h | 90-180 min | 1-5 Tage |
Participantsdifferent | Nutzertraffic | 3-8 | 3-6 | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Workshop | Async |
Outputdifferent | Interest Metrics, Conversion Signal, Learning Note | North Star metric, Input metric tree, Measurement cadence | GQM Table, Metric Profiles | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ValidationExperimentsDemandGrowth | GrowthMetricsAlignmentRetention | MetricsMeasurementEngineeringAlignment | ValidationExperimentsDemandDiscovery |