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| Criterion |  Knowledge Modeling Event Modeling |  Product Discovery Solution Interview |  Product Discovery Outcome-Driven Innovation |  UX Research Surveys |
|---|---|---|---|---|
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 topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | 2-6 h | 30-60 min je Interview | Mehrere Wochen | 3-14 Tage |
Participantsdifferent | 2-8 | 5-10 Interviews | 2-6 researchers plus sample | 50+ |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
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 | Survey Results, Charts, Segment Insights |
Tagsno overlap | EventsBlueprintDomain-Driven DesignBehavior | ValidationInterviewsPrototype | OutcomesInnovationResearchQuantitative | QuantitativeResearchValidation |