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| Criterion |  Decision Making Decision Tree |  Knowledge Modeling Knowledge Mapping |  Decision Making Pre-Mortem |  Decision Making Constraint Analysis |
|---|---|---|---|---|
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. | 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 an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. |
Complexitydifferent | Medium | Medium | Low | Low |
Timedifferent | 30-90 min | 1-3 h | 20–45 min | 30-90 min |
Participantsdifferent | 1-6 | 3-12 | Small cross-functional group | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Risk list, Mitigation plan, Assumption log | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | DecisionTreeOptions | KnowledgeMappingRisk | RiskDecisionFailurePlanning | ConstraintsDecisionPlanningOptions |