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| Criterion |  UX Research Card Sorting |  Product Strategy DIBB |  Decision Making Decision Tree |  Decision Making Delphi Method |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | 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. |
Complexitydifferent | Low | Low | Medium | High |
Timedifferent | 20-45 min | 1-2 h | 30-90 min | 1-4 Wochen |
Participantsdifferent | Based on research question | 2-8 | 1-6 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Content groups, Label set, IA hypotheses | DIBB document, Belief list, Bet list, Learning report | Decision Tree, Option Map, Assumption List | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | Information architectureNavigationStructure | StrategyDecisionAssumptionsHypothesis | DecisionTreeOptions | ForecastingExpertsDecisionStrategy |