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| Criterion |  Decision Making Decision Tree |  Knowledge Modeling Knowledge Mapping |  Product Discovery Experiment Canvas |  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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. | 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 | Low | Low |
Timedifferent | 30-90 min | 1-3 h | 30-60 min | 45-90 min |
Participantsdifferent | 1-6 | 3-12 | 1-5 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Completed Experiment Canvas, Success Metric | Assumption List, Critical Assumptions, Learning Plan |
Tagsno overlap | DecisionTreeOptions | KnowledgeMappingRisk | ExperimentsValidationDiscoveryHypothesis | AssumptionsRiskDecisionDiscovery |