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| Criterion |  Product Discovery Outcome-Driven Innovation |  Knowledge Modeling Event Modeling |  Innovation Design Thinking |  Domain Modeling EventStorming |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. | 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 | High | Medium | High | Medium |
Timedifferent | Mehrere Wochen | 2-6 h | 1 Tag bis mehrere Wochen | 2-8 h |
Participantsdifferent | 2-6 researchers plus sample | 2-8 | 4-10 | 5-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Event Model, UI Flow, Commands, Read Models | Problem Statement, Prototype, Test Learnings | Event Timeline, Ubiquitous Language, Boundaries, Open Questions |
Tagsno overlap | OutcomesInnovationResearchQuantitative | EventsBlueprintDomain-Driven DesignBehavior | InnovationPrototypeResearch | Domain-Driven DesignEventsDiscoveryWorkshop |