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| Criterion |  Decision Making Decision Tree |  Engineering Failure Scenario Analysis |  Growth A/B Testing |
|---|---|---|---|
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 two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. |
Complexitydifferent | Medium | Medium | High |
Timedifferent | 30-90 min | 1-3 h | 1-4 Wochen |
Participantsdifferent | 1-6 | 3-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Experiment results, Decision log, Learning summary |
Tagsno overlap | DecisionTreeOptions | FailureResilienceRisk | ExperimentsGrowthAnalyticsValidation |
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