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| Criterion |  Decision Making Decision Tree |  Product Strategy DIBB |  Product Discovery MVP Test Matrix |  Product Discovery Riskiest Assumption Test |
|---|---|---|---|---|
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. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. | When an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | 30-90 min | 1-2 h | 45-75 min | 1-2 Wochen pro Iteration |
Participantsdifferent | 1-6 | 2-8 | 2-8 | 2-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | DIBB document, Belief list, Bet list, Learning report | Test Matrix, Test Plan | Prioritized Assumption List, Test Plan, Results Report |
Tagsno overlap | DecisionTreeOptions | StrategyDecisionAssumptionsHypothesis | ExperimentsValidationDiscoveryOptions | ExperimentsValidationDiscoveryAssumptions |