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| Criterion |  Decision Making Decision Tree |  UX Research Tree Testing |  Decision Making Constraint Analysis |  Decision Making Pre-Mortem |
|---|---|---|---|---|
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. | 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. | 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. |
Complexitydifferent | Medium | Medium | Low | Low |
Timedifferent | 30-90 min | 1-2 Tage | 30-90 min | 20–45 min |
Participantsdifferent | 1-6 | Based on research question | 2-8 | Small cross-functional group |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop |
Outputdifferent | Decision Tree, Option Map, Assumption List | Findability Metrics, Path Analysis, Revised IA | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Risk list, Mitigation plan, Assumption log |
Tagsno overlap | DecisionTreeOptions | Information architectureNavigationFindability | ConstraintsDecisionPlanningOptions | RiskDecisionFailurePlanning |