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| Criterion |  Decision Making Decision Tree |  Growth Funnel Analysis |  Decision Making Pre-Mortem |  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. | When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. | In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures. | 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 | Low | High |
Timedifferent | 30-90 min | 1-3 h | 20–45 min | 1-4 Wochen |
Participantsdifferent | 1-6 | 1-5 | Small cross-functional group | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop | Async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Funnel report, Drop-off analysis, Optimization hypotheses | Risk list, Mitigation plan, Assumption log | Experiment results, Decision log, Learning summary |
Tagsno overlap | DecisionTreeOptions | AnalyticsConversionGrowth | RiskDecisionFailurePlanning | ExperimentsGrowthAnalyticsValidation |