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| Criterion |  Decision Making Decision Tree |  Knowledge Modeling Concept Mapping |  Decision Making Pre-Mortem |  Knowledge Modeling Knowledge Mapping |
|---|---|---|---|---|
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. | Concept Mapping arranges terms and relationships in a network that makes subject-matter connections tangible. It fits when a topic needs to be understood structurally rather than linearly. | In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures. | 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. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 30-90 min | 1-2 h | 20–45 min | 1-3 h |
Participantsdifferent | 1-6 | 1-8 | Small cross-functional group | 3-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Decision Tree, Option Map, Assumption List | Concept Map, Relationship Labels, Knowledge Gaps | Risk list, Mitigation plan, Assumption log | Knowledge Map, Critical Knowledge Areas, Transfer Plan |
Tagsno overlap | DecisionTreeOptions | KnowledgeConceptsMappingSensemaking | RiskDecisionFailurePlanning | KnowledgeMappingRisk |