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| Criterion |  Product Strategy DIBB |  UX Research Tree Testing |  Decision Making Delphi Method |  UX Research Card Sorting |
|---|---|---|---|---|
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 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 content only makes sense internally and users can't find the structure again, card sorting exposes their mental order. Terms, groups, and naming are then aligned with the target group's expectations. |
Complexitydifferent | Low | Medium | High | Low |
Timedifferent | 1-2 h | 1-2 Tage | 1-4 Wochen | 20-45 min |
Participantsdifferent | 2-8 | Based on research question | 6-30 Experten | Based on research question |
Formatdifferent | Workshop + async | Async | Async | Workshop + async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Findability Metrics, Path Analysis, Revised IA | Expert Forecast, Consensus Range, Assumption Notes | Content groups, Label set, IA hypotheses |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | Information architectureNavigationFindability | ForecastingExpertsDecisionStrategy | Information architectureNavigationStructure |