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| Criterion |  Decision Making Decision Tree |  UX Research Tree Testing |  Decision Making Pre-Mortem |  Engineering Failure Scenario 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. | When a navigation exists but search paths still fail, tree testing checks findability without visual distraction. The method shows whether labels, levels, and paths really lead to the intended destination. | 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. | 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. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 30-90 min | 1-2 Tage | 20–45 min | 1-3 h |
Participantsdifferent | 1-6 | Based on research question | Small cross-functional group | 3-8 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop |
Outputdifferent | Decision Tree, Option Map, Assumption List | Findability Metrics, Path Analysis, Revised IA | Risk list, Mitigation plan, Assumption log | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions |
Tagsno overlap | DecisionTreeOptions | Information architectureNavigationFindability | RiskDecisionFailurePlanning | FailureResilienceRisk |