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| Criterion |  Decision Making Decision Matrix |  Decision Making Decision Tree |  Product Discovery Learning Card |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight 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 | Medium | Low | Medium |
Timedifferent | 45-90 min | 30-90 min | 25-40 min | 1-5 Tage |
Participantsdifferent | 2-8 | 1-6 | 1-5 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Decision Matrix, Scoring Rationale, Selected Option | Decision Tree, Option Map, Assumption List | Learning Card with evidence and next action | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | DecisionCriteriaScoringTradeoffs | DecisionTreeOptions | ExperimentsValidationDiscoveryLearning | ValidationExperimentsDemandDiscovery |