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| Criterion |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Fake Door Test |  Product Strategy KPI Tree |  Engineering Goal Question Metric |
|---|---|---|---|---|
Purposedifferent | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | 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. | 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. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 60-90 min | 1-5 Tage | 90-180 min initial, dann laufend | 90-180 min |
Participantsdifferent | 3-8 | Nutzertraffic | 3-8 | 3-6 |
Formatdifferent | Workshop | Async | Workshop + async | Workshop |
Outputdifferent | Prioritization Canvas, Hypothesis Backlog | Click Data, Interest Signal, Learning Decision | KPI Tree, Owner List | GQM Table, Metric Profiles |
Tagsno overlap | ExperimentsPrioritizationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery | MetricsStrategyAlignmentMeasurement | MetricsMeasurementEngineeringAlignment |