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| Criterion |  Decision Making Decision Tree |  Growth Funnel Analysis |  Decision Making Decision Matrix |  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. | When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. | 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 | Medium | High |
Timedifferent | 30-90 min | 1-3 h | 45-90 min | 1-4 Wochen |
Participantsdifferent | 1-6 | 1-5 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Funnel report, Drop-off analysis, Optimization hypotheses | Decision Matrix, Scoring Rationale, Selected Option | Experiment results, Decision log, Learning summary |
Tagsno overlap | DecisionTreeOptions | AnalyticsConversionGrowth | DecisionCriteriaScoringTradeoffs | ExperimentsGrowthAnalyticsValidation |