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| Criterion |  UX Research User Interviews |  Knowledge Modeling Event Modeling |  Product Discovery Outcome-Driven Innovation |  Domain Modeling EventStorming |
|---|---|---|---|---|
Purposedifferent | When teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible. | 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. | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | 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. |
Complexitydifferent | Low | Medium | High | Medium |
Timedifferent | 30–60 min per interview | 2-6 h | Mehrere Wochen | 2-8 h |
Participantsdifferent | 1 participant per interview | 2-8 | 2-6 researchers plus sample | 5-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Interview Notes, Themes, Insight Summary | Event Model, UI Flow, Commands, Read Models | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Event Timeline, Ubiquitous Language, Boundaries, Open Questions |
Tagsno overlap | QualitativeResearchCustomerDiscovery | EventsBlueprintDomain-Driven DesignBehavior | OutcomesInnovationResearchQuantitative | Domain-Driven DesignEventsDiscoveryWorkshop |