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| Criterion |  Product Discovery Outcome-Driven Innovation |  Knowledge Modeling Event Modeling |  UX Research Surveys |
|---|---|---|---|
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. | 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 | High | Medium | Medium |
Timedifferent | Mehrere Wochen | 2-6 h | 3-14 Tage |
Participantsdifferent | 2-6 researchers plus sample | 2-8 | 50+ |
Formatdifferent | Workshop + async | Workshop + async | Async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Event Model, UI Flow, Commands, Read Models | Survey Results, Charts, Segment Insights |
Tagsno overlap | OutcomesInnovationResearchQuantitative | EventsBlueprintDomain-Driven DesignBehavior | QuantitativeResearchValidation |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
