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| Criterion |  Innovation Design Thinking |  Product Discovery Outcome-Driven Innovation |  UX Research Surveys |  Product Discovery Wizard of Oz Test |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | When a new experience would still be too expensive to automate for real, it simulates the outcome behind the scenes. It checks user reaction and value before the technology disappears. |
Complexitydifferent | High | High | Medium | High |
Timedifferent | 1 Tag bis mehrere Wochen | Mehrere Wochen | 3-14 Tage | 2-10 Tage |
Participantsdifferent | 4-10 | 2-6 researchers plus sample | 50+ | 5-20 Nutzer |
Formatdifferent | Workshop | Workshop + async | Async | Workshop + async |
Outputdifferent | Problem Statement, Prototype, Test Learnings | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Survey Results, Charts, Segment Insights | Prototype Learnings, Manual Effort Notes, Risk List |
Tagsno overlap | InnovationPrototypeResearch | OutcomesInnovationResearchQuantitative | QuantitativeResearchValidation | PrototypeValidationMVP |