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| Criterion | ![]() UX Research Diary Study | ![]() Domain Modeling EventStorming | ![]() Product Strategy DIBB | ![]() Domain Modeling Context Map |
|---|---|---|---|---|
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. | When a domain consists of many events, rules, and states, it creates a shared modeling space for the team. It bundles language, flows, and boundaries before domain knowledge fragments into siloed views. | 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. | When several contexts need to talk to each other, it makes their relationships and dependencies legible. It helps sort integration pressure and responsibilities across system boundaries. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 1-4 Wochen | 2-8 h | 1-2 h | 1-3 h |
Participantsdifferent | 5-20 | 5-12 | 2-8 | 2-8 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Diary Entries, Longitudinal Patterns, Experience Timeline | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | DIBB document, Belief list, Bet list, Learning report | Context Map, Integration Patterns, Boundary Notes |
Tagsno overlap | UX researchTrackingBehavior | Domain-Driven DesignEventsDiscoveryWorkshop | StrategyDecisionAssumptionsHypothesis | Domain-Driven DesignBoundariesStrategy |



