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| Criterion |  Knowledge Modeling Event Modeling |  Product Discovery Solution Interview |  Product Discovery Outcome-Driven Innovation |  Domain Modeling EventStorming |
|---|---|---|---|---|
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 a solution idea is already on the table, it checks how it is understood and evaluated. It looks for resonance, objections, and missing fit early in the conversation. | 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 | Medium | Medium | High | Medium |
Timedifferent | 2-6 h | 30-60 min je Interview | Mehrere Wochen | 2-8 h |
Participantsdifferent | 2-8 | 5-10 Interviews | 2-6 researchers plus sample | 5-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Event Model, UI Flow, Commands, Read Models | Solution Feedback, Objection List, Validation Notes | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Event Timeline, Ubiquitous Language, Boundaries, Open Questions |
Tagsno overlap | EventsBlueprintDomain-Driven DesignBehavior | ValidationInterviewsPrototype | OutcomesInnovationResearchQuantitative | Domain-Driven DesignEventsDiscoveryWorkshop |