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| Criterion |  Product Strategy DIBB |  UX Research Tree Testing |  UX Research Card Sorting |  Decision Making Force Field Analysis |
|---|---|---|---|---|
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 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. | In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving. |
Complexitydifferent | Low | Medium | Low | Low |
Timedifferent | 1-2 h | 1-2 Tage | 20-45 min | 45-90 min |
Participantsdifferent | 2-8 | Based on research question | Based on research question | 3-12 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Findability Metrics, Path Analysis, Revised IA | Content groups, Label set, IA hypotheses | Force Field Map, Change Levers, Risk Notes |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | Information architectureNavigationFindability | Information architectureNavigationStructure | ChangeDecisionStrategy |