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| Criterion |  UX Research Tree Testing |  Decision Making Constraint Analysis |  Decision Making Decision Tree |  UX Research Card Sorting |
|---|---|---|---|---|
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 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. | 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 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 | Low | Medium | Low |
Timedifferent | 1-2 Tage | 30-90 min | 30-90 min | 20-45 min |
Participantsdifferent | Based on research question | 2-8 | 1-6 | Based on research question |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Decision Tree, Option Map, Assumption List | Content groups, Label set, IA hypotheses |
Tagsno overlap | Information architectureNavigationFindability | ConstraintsDecisionPlanningOptions | DecisionTreeOptions | Information architectureNavigationStructure |