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| Criterion |  Decision Making Decision Tree |  Engineering Failure Scenario Analysis |  Product Discovery Riskiest Assumption Test |  Product Discovery MVP Test Matrix |
|---|---|---|---|---|
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. | In critical processes, it is not enough to plan only for the normal case. Failure Scenario Analysis looks at the path into failure and shows which failures, chains, and control gaps cause the most damage. | 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. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 30-90 min | 1-3 h | 1-2 Wochen pro Iteration | 45-75 min |
Participantsdifferent | 1-6 | 3-8 | 2-6 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Decision Tree, Option Map, Assumption List | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Prioritized Assumption List, Test Plan, Results Report | Test Matrix, Test Plan |
Tagsno overlap | DecisionTreeOptions | FailureResilienceRisk | ExperimentsValidationDiscoveryAssumptions | ExperimentsValidationDiscoveryOptions |