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| Criterion |  UX Research Tree Testing |  Decision Making Delphi Method |  Product Discovery Assumption Mapping |  Product Strategy DIBB |
|---|---|---|---|---|
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. | 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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. |
Complexitydifferent | Medium | High | Medium | Low |
Timedifferent | 1-2 Tage | 1-4 Wochen | 45-60 min | 1-2 h |
Participantsdifferent | Based on research question | 6-30 Experten | 2-8 | 2-8 |
Formatdifferent | Async | Async | Workshop + async | Workshop + async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Expert Forecast, Consensus Range, Assumption Notes | Assumption map, Test backlog, Risk ranking | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | Information architectureNavigationFindability | ForecastingExpertsDecisionStrategy | AssumptionsRiskExperimentsValidation | StrategyDecisionAssumptionsHypothesis |