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| Criterion |  UX Research Card Sorting |  UX Research Tree Testing |  Decision Making Decision Tree |
|---|---|---|---|
Purposedifferent | 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. | 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. | 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. |
Complexitydifferent | Low | Medium | Medium |
Timedifferent | 20-45 min | 1-2 Tage | 30-90 min |
Participantsdifferent | Based on research question | Based on research question | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop + async |
Outputdifferent | Content groups, Label set, IA hypotheses | Findability Metrics, Path Analysis, Revised IA | Decision Tree, Option Map, Assumption List |
Tagsno overlap | Information architectureNavigationStructure | Information architectureNavigationFindability | DecisionTreeOptions |
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