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| Criterion |  Decision Making Decision Tree |  Decision Making Constraint Analysis |  UX Research Tree Testing |  UX Research First-click Testing |
|---|---|---|---|---|
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 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. | 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 users immediately turn the wrong way on a screen or wireframe, first click testing checks initial orientation at high speed. The first click shows early whether expectation, labeling, and wayfinding fit together. |
Complexitydifferent | Medium | Low | Medium | Low |
Timedifferent | 30-90 min | 30-90 min | 1-2 Tage | 1-2 Tage |
Participantsdifferent | 1-6 | 2-8 | Based on research question | 10-30 |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Findability Metrics, Path Analysis, Revised IA | Click Heatmap, Success Rate, Design Recommendations |
Tagsno overlap | DecisionTreeOptions | ConstraintsDecisionPlanningOptions | Information architectureNavigationFindability | UXNavigationFindabilityValidation |