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| Criterion |  Decision Making Decision Tree |  UX Research Tree Testing |  Decision Making Pre-Mortem |  UX Research Card Sorting |
|---|---|---|---|---|
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. | When content only makes sense internally and users can't find the structure again, card sorting exposes their mental order. Terms, groups, and naming are then aligned with the target group's expectations. |
Complexitydifferent | Medium | Medium | Low | Low |
Timedifferent | 30-90 min | 1-2 Tage | 20–45 min | 20-45 min |
Participantsdifferent | 1-6 | Based on research question | Small cross-functional group | Based on research question |
Formatdifferent | Workshop + async | Async | Workshop | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Findability Metrics, Path Analysis, Revised IA | Risk list, Mitigation plan, Assumption log | Content groups, Label set, IA hypotheses |
Tagsno overlap | DecisionTreeOptions | Information architectureNavigationFindability | RiskDecisionFailurePlanning | Information architectureNavigationStructure |