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| Criterion |  UX Research Diary Study |  Operations Fault Tree Analysis |  Product Strategy DIBB |
|---|---|---|---|
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. | For a critical top event with several possible triggers, the method logically models failure paths. It makes visible which combinations of conditions can lead to damage. | 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 | Medium | High | Low |
Timedifferent | 1-4 Wochen | 2-6 h | 1-2 h |
Participantsdifferent | 5-20 | 3-8 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop + async |
Outputdifferent | Diary Entries, Longitudinal Patterns, Experience Timeline | Fault Tree, Critical Paths, Cause Hypotheses, Control Actions | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | UX researchTrackingBehavior | RiskRoot causeSafety | StrategyDecisionAssumptionsHypothesis |
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