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| Criterion |  UX Research Card Sorting |  Systems Thinking Future Reality Tree |  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. | A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation. | 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 | High | High | Low |
Timedifferent | 20-45 min | 2-4 h | 1-4 Wochen | 1-2 h |
Participantsdifferent | Based on research question | 3-8 | 6-30 Experten | 2-8 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop + async |
Outputdifferent | Content groups, Label set, IA hypotheses | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Expert Forecast, Consensus Range, Assumption Notes | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | Information architectureNavigationStructure | Theory of ConstraintsSystems thinkingChange | ForecastingExpertsDecisionStrategy | StrategyDecisionAssumptionsHypothesis |