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| Criterion |  Decision Making Decision Tree |  UX Research Tree Testing |  UX Research First-click Testing |  Product Discovery MVP Test Matrix |
|---|---|---|---|---|
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 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. | When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 30-90 min | 1-2 Tage | 1-2 Tage | 45-75 min |
Participantsdifferent | 1-6 | Based on research question | 10-30 | 2-8 |
Formatdifferent | Workshop + async | Async | Async | Workshop |
Outputdifferent | Decision Tree, Option Map, Assumption List | Findability Metrics, Path Analysis, Revised IA | Click Heatmap, Success Rate, Design Recommendations | Test Matrix, Test Plan |
Tagsno overlap | DecisionTreeOptions | Information architectureNavigationFindability | UXNavigationFindabilityValidation | ExperimentsValidationDiscoveryOptions |