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| Criterion |  UX Research HEART Framework |  Domain Modeling EventStorming |  UX Research Diary Study |  Knowledge Modeling Event Modeling |
|---|---|---|---|---|
Purposedifferent | Helps clarify observations, needs, and patterns in concrete terms. It groups observations into patterns, questions, and decisions. The result is captured as a HEART-GSM table and dashboard. | 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. | 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. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 120 min initial, dann laufend | 2-8 h | 1-4 Wochen | 2-6 h |
Participantsdifferent | 3-6 | 5-12 | 5-20 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop + async |
Outputdifferent | HEART-GSM Table, Dashboard | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Diary Entries, Longitudinal Patterns, Experience Timeline | Event Model, UI Flow, Commands, Read Models |
Tagsno overlap | MetricsUX researchMeasurementSatisfaction | Domain-Driven DesignEventsDiscoveryWorkshop | UX researchTrackingBehavior | EventsBlueprintDomain-Driven DesignBehavior |