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| Criterion |  Knowledge Modeling Knowledge Mapping |  Decision Making Decision Tree |  Engineering Failure Scenario Analysis |  Decision Making Constraint Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | In critical processes, it is not enough to plan only for the normal case. Failure Scenario Analysis looks at the path into failure and shows which failures, chains, and control gaps cause the most damage. | 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 | Medium | Low |
Timedifferent | 1-3 h | 30-90 min | 1-3 h | 30-90 min |
Participantsdifferent | 3-12 | 1-6 | 3-8 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Decision Tree, Option Map, Assumption List | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | KnowledgeMappingRisk | DecisionTreeOptions | FailureResilienceRisk | ConstraintsDecisionPlanningOptions |