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| Criterion |  UX Research Tree Testing |  Decision Making Pre-Mortem |  Product Strategy DIBB |  UX Research Card Sorting |
|---|---|---|---|---|
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. | In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures. | 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 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 | Medium | Low | Low | Low |
Timedifferent | 1-2 Tage | 20–45 min | 1-2 h | 20-45 min |
Participantsdifferent | Based on research question | Small cross-functional group | 2-8 | Based on research question |
Formatdifferent | Async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Risk list, Mitigation plan, Assumption log | DIBB document, Belief list, Bet list, Learning report | Content groups, Label set, IA hypotheses |
Tagsno overlap | Information architectureNavigationFindability | RiskDecisionFailurePlanning | StrategyDecisionAssumptionsHypothesis | Information architectureNavigationStructure |