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| Criterion |  Decision Making Decision Tree |  Growth A/B Testing |  Product Strategy ICE Scoring |
|---|---|---|---|
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 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. | When ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list. |
Complexitydifferent | Medium | High | Low |
Timedifferent | 30-90 min | 1-4 Wochen | 30-60 min |
Participantsdifferent | 1-6 | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Experiment results, Decision log, Learning summary | ICE Table, Top Idea List |
Tagsno overlap | DecisionTreeOptions | ExperimentsGrowthAnalyticsValidation | PrioritizationScoringGrowthDecision |
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