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| Criterion |  Product Discovery Opportunity Scoring |  Product Discovery Opportunity Solution Tree |  Product Discovery Fake Door Test |
|---|---|---|---|
Purposedifferent | When opportunities need ranking by their effect, it makes importance and satisfaction directly comparable. It separates problem, assumption, solution, and evidence. The result is captured as an opportunity-score table and top outcomes. | When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | 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. |
Complexitysame | Medium | Medium | Medium |
Timedifferent | 60-120 min | 1-2 h Setup, laufend | 1-5 Tage |
Participantsdifferent | 3-6 | 2-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Async |
Outputdifferent | Opportunity Score Table, Top Outcomes | Opportunity Solution Tree, Experiment Backlog, Learning Log | Click Data, Interest Signal, Learning Decision |
Tags1 shared | PrioritizationDiscoveryOutcomesNeeds | DiscoveryOutcomesExperimentsOpportunity | ValidationExperimentsDemandDiscovery |
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