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| Criterion |  Decision Making Decision Tree |  Knowledge Modeling Knowledge Mapping |  Growth A/B Testing |  Decision Making Assumption Surfacing |
|---|---|---|---|---|
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. | Knowledge Mapping makes knowledge, gaps, and transfer paths visible across a field. It fits when expertise should not just exist but also be findable and transferable. | 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. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. |
Complexitydifferent | Medium | Medium | High | Low |
Timedifferent | 30-90 min | 1-3 h | 1-4 Wochen | 45-90 min |
Participantsdifferent | 1-6 | 3-12 | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Experiment results, Decision log, Learning summary | Assumption List, Critical Assumptions, Learning Plan |
Tagsno overlap | DecisionTreeOptions | KnowledgeMappingRisk | ExperimentsGrowthAnalyticsValidation | AssumptionsRiskDecisionDiscovery |