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| Criterion |  Product Strategy DIBB |  UX Research Tree Testing |  UX Research First-click Testing |  Decision Making Assumption Surfacing |
|---|---|---|---|---|
Purposedifferent | 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 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. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. |
Complexitydifferent | Low | Medium | Low | Low |
Timedifferent | 1-2 h | 1-2 Tage | 1-2 Tage | 45-90 min |
Participantsdifferent | 2-8 | Based on research question | 10-30 | 2-8 |
Formatdifferent | Workshop + async | Async | Async | Workshop + async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Findability Metrics, Path Analysis, Revised IA | Click Heatmap, Success Rate, Design Recommendations | Assumption List, Critical Assumptions, Learning Plan |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | Information architectureNavigationFindability | UXNavigationFindabilityValidation | AssumptionsRiskDecisionDiscovery |