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| Criterion |  UX Research Diary Study |  Product Strategy DIBB |  Decision Making Decision Tree |  Decision Making Delphi Method |
|---|---|---|---|---|
Purposedifferent | When experiences build up over days or weeks and a single session cannot capture them, Diary Study records the course of everyday life. Recurring triggers, moods, and habits become visible this way, beyond the sharpness of memory. | 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 | Medium | Low | Medium | High |
Timedifferent | 1-4 Wochen | 1-2 h | 30-90 min | 1-4 Wochen |
Participantsdifferent | 5-20 | 2-8 | 1-6 | 6-30 Experten |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | Diary Entries, Longitudinal Patterns, Experience Timeline | DIBB document, Belief list, Bet list, Learning report | Decision Tree, Option Map, Assumption List | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | UX researchTrackingBehavior | StrategyDecisionAssumptionsHypothesis | DecisionTreeOptions | ForecastingExpertsDecisionStrategy |