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| Criterion |  Decision Making Constraint Analysis |  Knowledge Modeling Knowledge Mapping |  Engineering Failure Scenario Analysis |  Decision Making Decision Tree |
|---|---|---|---|---|
Purposedifferent | 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. | 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 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. | 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. |
Complexitydifferent | Low | Medium | Medium | Medium |
Timedifferent | 30-90 min | 1-3 h | 1-3 h | 30-90 min |
Participantsdifferent | 2-8 | 3-12 | 3-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Decision Tree, Option Map, Assumption List |
Tagsno overlap | ConstraintsDecisionPlanningOptions | KnowledgeMappingRisk | FailureResilienceRisk | DecisionTreeOptions |