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| Criterion |  Knowledge Modeling Event Modeling |  Product Discovery Outcome-Driven Innovation |  UX Research Affinity Diagramming |  Innovation Design Thinking |
|---|---|---|---|---|
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. | 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 research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer. | 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. |
Complexitydifferent | Medium | High | Low | High |
Timedifferent | 2-6 h | Mehrere Wochen | 45–90 min | 1 Tag bis mehrere Wochen |
Participantsdifferent | 2-8 | 2-6 researchers plus sample | 3-10 | 4-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Event Model, UI Flow, Commands, Read Models | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Theme clusters, Insight statements, Opportunity areas | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | EventsBlueprintDomain-Driven DesignBehavior | OutcomesInnovationResearchQuantitative | SynthesisQualitativeRoot cause | InnovationPrototypeResearch |