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| Criterion |  Decision Making Decision Tree |  Knowledge Modeling Concept Mapping |  Decision Making Pre-Mortem |  Decision Making Argument 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. | When statements, evidence, and counterarguments get mixed up, a debate quickly loses its structure. Argument Mapping breaks a thesis down into its reasoning and makes visible what it really rests on. |
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 | 1-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Concept Map, Relationship Labels, Knowledge Gaps | Risk list, Mitigation plan, Assumption log | Argument Map, Evidence Gaps, Decision Rationale |
Tagsno overlap | DecisionTreeOptions | KnowledgeConceptsMappingSensemaking | RiskDecisionFailurePlanning | SensemakingDecisionRationale |