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| Criterion |  UX Research Tree Testing |  Decision Making Decision Tree |  Decision Making Decision Framing Workshop |  Decision Making Constraint 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. | 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 decision is poorly framed, even good answers deliver little value. A Decision Framing Workshop sharpens the problem, goal, and boundaries before the actual weighing begins. | 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. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 1-2 Tage | 30-90 min | 60-120 min | 30-90 min |
Participantsdifferent | Based on research question | 1-6 | 4-10 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Decision Tree, Option Map, Assumption List | Decision Frame, Decision Question, Criteria List, Evidence Plan | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | Information architectureNavigationFindability | DecisionTreeOptions | Decision framingAlignmentCriteriaOptions | ConstraintsDecisionPlanningOptions |