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| Criterion | ![]() Decision Making Decision Tree | ![]() Knowledge Modeling Knowledge Mapping | ![]() Product Discovery Smoke Test |
|---|---|---|---|
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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. |
Complexitydifferent | Medium | Medium | Low |
Timedifferent | 30-90 min | 1-3 h | 1-5 Tage |
Participantsdifferent | 1-6 | 3-12 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop | Async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | DecisionTreeOptions | KnowledgeMappingRisk | ValidationExperimentsDemandGrowth |
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