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| Criterion | ![]() Decision Making Decision Tree | ![]() Product Discovery Pretotyping | ![]() Innovation Lean Startup |
|---|---|---|---|
Purposedifferent | 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. | 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. | For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight. |
Complexitydifferent | Medium | Low | Medium |
Timedifferent | 30-90 min | Stunden bis wenige Tage | Wochen bis Monate je Lernzyklus |
Participantsdifferent | 1-6 | 1-4 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision |
Tagsno overlap | DecisionTreeOptions | ValidationDemandMVP | LeanStartupValidationMVP |
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