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| Criterion |  Product Discovery Pretotyping |  Decision Making Trade-off Analysis |  Decision Making Decision Tree |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | Pretotyping clarifies whether a customer problem and solution idea create enough real demand. It separates problem, assumption, solution, and evidence, and captures the result as a pretotyping sketch, test setup, and conversion data. | With limited resources, quality, speed, cost, and risk almost always compete with each other. Trade-off Analysis makes these tensions explicit and prevents decisions from producing hidden side effects. | 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. | 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 | Stunden bis wenige Tage | 45-120 min | 30-90 min | 1-5 Tage |
Participantsdifferent | 1-4 | 2-8 | 1-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides | Decision Tree, Option Map, Assumption List | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ValidationDemandMVP | TradeoffsDecisionCriteriaOptions | DecisionTreeOptions | ValidationExperimentsDemandDiscovery |