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| Criterion | ![]() UX Research Card Sorting | ![]() Decision Making Decision Matrix | ![]() Decision Making Delphi Method | ![]() Product Strategy DIBB |
|---|---|---|---|---|
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. | When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. | 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. | 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 | Low | Medium | High | Low |
Timedifferent | 20-45 min | 45-90 min | 1-4 Wochen | 1-2 h |
Participantsdifferent | Based on research question | 2-8 | 6-30 Experten | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Content groups, Label set, IA hypotheses | Decision Matrix, Scoring Rationale, Selected Option | Expert Forecast, Consensus Range, Assumption Notes | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | Information architectureNavigationStructure | DecisionCriteriaScoringTradeoffs | ForecastingExpertsDecisionStrategy | StrategyDecisionAssumptionsHypothesis |



