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| Criterion | ![]() UX Research Card Sorting | ![]() Decision Making Delphi Method | ![]() Product Discovery Assumption Mapping | ![]() 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 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 | High | Medium | Low |
Timedifferent | 20-45 min | 1-4 Wochen | 45-60 min | 1-2 h |
Participantsdifferent | Based on research question | 6-30 Experten | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Content groups, Label set, IA hypotheses | Expert Forecast, Consensus Range, Assumption Notes | Assumption map, Test backlog, Risk ranking | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | Information architectureNavigationStructure | ForecastingExpertsDecisionStrategy | AssumptionsRiskExperimentsValidation | StrategyDecisionAssumptionsHypothesis |



