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| Criterion |  Decision Making Trade-off Analysis |  Growth Funnel Analysis |  Decision Making Decision Tree |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | With limited resources, quality, speed, cost, and risk almost always compete with each other. Trade-off Analysis makes these tensions explicit and prevents decisions from producing hidden side effects. | 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. | 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 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 | 45-120 min | 1-3 h | 30-90 min | 1-4 Wochen |
Participantsdifferent | 2-8 | 1-5 | 1-6 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides | Funnel report, Drop-off analysis, Optimization hypotheses | Decision Tree, Option Map, Assumption List | Experiment results, Decision log, Learning summary |
Tagsno overlap | TradeoffsDecisionCriteriaOptions | AnalyticsConversionGrowth | DecisionTreeOptions | ExperimentsGrowthAnalyticsValidation |