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| Criterion |  Product Discovery Opportunity Solution Tree |  UX Research User Interviews |  Domain Modeling EventStorming |  Knowledge Modeling Event Modeling |
|---|---|---|---|---|
Purposedifferent | When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | 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. | 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. | 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. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | 1-2 h Setup, laufend | 30–60 min per interview | 2-8 h | 2-6 h |
Participantsdifferent | 2-6 | 1 participant per interview | 5-12 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Opportunity Solution Tree, Experiment Backlog, Learning Log | Interview Notes, Themes, Insight Summary | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Event Model, UI Flow, Commands, Read Models |
Tagsno overlap | DiscoveryOutcomesExperimentsOpportunity | QualitativeResearchCustomerDiscovery | Domain-Driven DesignEventsDiscoveryWorkshop | EventsBlueprintDomain-Driven DesignBehavior |