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| Criterion | ![]() Knowledge Modeling Event Modeling | ![]() UX Research Diary Study | ![]() Product Strategy DIBB |
|---|---|---|---|
Purposedifferent | Event Modeling connects business workflows with commands, events, and views into one coherent mental model. It helps design behavior, UI, and technical slices from the same underlying logic. | 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. |
Complexitydifferent | Medium | Medium | Low |
Timedifferent | 2-6 h | 1-4 Wochen | 1-2 h |
Participantsdifferent | 2-8 | 5-20 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop + async |
Outputdifferent | Event Model, UI Flow, Commands, Read Models | Diary Entries, Longitudinal Patterns, Experience Timeline | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | EventsBlueprintDomain-Driven DesignBehavior | UX researchTrackingBehavior | StrategyDecisionAssumptionsHypothesis |
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