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| Criterion |  UX Research Tree Testing |  Product Strategy DIBB |  Decision Making Delphi Method |  UX Research First-click Testing |
|---|---|---|---|---|
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. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. | 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 | High | Low |
Timedifferent | 1-2 Tage | 1-2 h | 1-4 Wochen | 1-2 Tage |
Participantsdifferent | Based on research question | 2-8 | 6-30 Experten | 10-30 |
Formatdifferent | Async | Workshop + async | Async | Async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | DIBB document, Belief list, Bet list, Learning report | Expert Forecast, Consensus Range, Assumption Notes | Click Heatmap, Success Rate, Design Recommendations |
Tagsno overlap | Information architectureNavigationFindability | StrategyDecisionAssumptionsHypothesis | ForecastingExpertsDecisionStrategy | UXNavigationFindabilityValidation |