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| Criterion |  Product Discovery Outcome-Driven Innovation |  Knowledge Modeling Event Modeling |  Innovation Design Sprint |
|---|---|---|---|
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 the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess. |
Complexitydifferent | High | Medium | High |
Timedifferent | Mehrere Wochen | 2-6 h | 4-5 Tage |
Participantsdifferent | 2-6 researchers plus sample | 2-8 | 5-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Event Model, UI Flow, Commands, Read Models | Prototype, Test Findings, Decision Rationale |
Tagsno overlap | OutcomesInnovationResearchQuantitative | EventsBlueprintDomain-Driven DesignBehavior | Design sprintPrototypeValidationInnovation |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
