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| Criterion |  UX Research Tree Testing |  UX Research Card Sorting |  Decision Making Decision Tree |  Decision Making Trade-off Analysis |
|---|---|---|---|---|
Purposedifferent | 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 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. | 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. | With limited resources, quality, speed, cost, and risk almost always compete with each other. Trade-off Analysis makes these tensions explicit and prevents decisions from producing hidden side effects. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | 1-2 Tage | 20-45 min | 30-90 min | 45-120 min |
Participantsdifferent | Based on research question | Based on research question | 1-6 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Content groups, Label set, IA hypotheses | Decision Tree, Option Map, Assumption List | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides |
Tagsno overlap | Information architectureNavigationFindability | Information architectureNavigationStructure | DecisionTreeOptions | TradeoffsDecisionCriteriaOptions |