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| Criterion |  UX Research User Interviews |  Knowledge Modeling Event Modeling |  Product Discovery Outcome-Driven Innovation |  Innovation Design Thinking |
|---|---|---|---|---|
Purposedifferent | When teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible. | 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. | 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 | Low | Medium | High | High |
Timedifferent | 30–60 min per interview | 2-6 h | Mehrere Wochen | 1 Tag bis mehrere Wochen |
Participantsdifferent | 1 participant per interview | 2-8 | 2-6 researchers plus sample | 4-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Interview Notes, Themes, Insight Summary | Event Model, UI Flow, Commands, Read Models | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | QualitativeResearchCustomerDiscovery | EventsBlueprintDomain-Driven DesignBehavior | OutcomesInnovationResearchQuantitative | InnovationPrototypeResearch |