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| Criterion |  Product Discovery Outcome-Driven Innovation |  Knowledge Modeling Event Modeling |  Innovation Design Thinking |  Product Strategy Impact Mapping |
|---|---|---|---|---|
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 goal needs to be connected to several possible paths, it shows chains of impact instead of feature lists. It connects business goal, behavior change, and measures. |
Complexitydifferent | High | Medium | High | Medium |
Timedifferent | Mehrere Wochen | 2-6 h | 1 Tag bis mehrere Wochen | 45-90 min |
Participantsdifferent | 2-6 researchers plus sample | 2-8 | 4-10 | 3-8 |
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 | Impact Map, Outcome Hypotheses, Delivery Options |
Tagsno overlap | OutcomesInnovationResearchQuantitative | EventsBlueprintDomain-Driven DesignBehavior | InnovationPrototypeResearch | OutcomesStrategyBehaviorPlanning |