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| Criterion |  Decision Making Decision Tree |  Knowledge Modeling IBIS |  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. | IBIS structures thinking about complex questions as a sequence of issues, ideas, and arguments. The method keeps discussions open without forcing them into premature consensus. | 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 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Issue Map, Positions, Argument Notes | Experiment results, Decision log, Learning summary |
Tagsno overlap | DecisionTreeOptions | RationaleKnowledgeDecision | ExperimentsGrowthAnalyticsValidation |
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