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| Criterion |  Decision Making Decision Tree |  Engineering Failure Scenario Analysis |  Decision Making Constraint Analysis |  Decision Making Red Teaming |
|---|---|---|---|---|
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. | 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. | For strategic decisions with high reach, agreement and gut feeling are often not enough. Red teaming brings deliberate opposition into the situation and tests where a plan breaks under real counterarguments. |
Complexitydifferent | Medium | Medium | Low | High |
Timedifferent | 30-90 min | 1-3 h | 30-90 min | 1-4 h |
Participantsdifferent | 1-6 | 3-8 | 2-8 | 3-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | 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 | Challenge Findings, Risk Register, Mitigation Plan |
Tagsno overlap | DecisionTreeOptions | FailureResilienceRisk | ConstraintsDecisionPlanningOptions | RiskDecisionSensemaking |