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| Criterion | ![]() Product Discovery Problem Interview | ![]() UX Research Surveys | ![]() Product Discovery Outcome-Driven Innovation | ![]() Innovation Design Thinking |
|---|---|---|---|---|
Purposedifferent | When the picture of the problem still needs to become solid, it asks about real situations and consequences. It separates genuine suffering from mere interest in a solution. | 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. | 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 | Medium | Medium | High | High |
Timedifferent | 30-60 min je Interview | 3-14 Tage | Mehrere Wochen | 1 Tag bis mehrere Wochen |
Participantsdifferent | 5-12 Interviews | 50+ | 2-6 researchers plus sample | 4-10 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop |
Outputdifferent | Problem Evidence, Risk Notes, Customer Segments | Survey Results, Charts, Segment Insights | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | DiscoveryInterviewsValidation | QuantitativeResearchValidation | OutcomesInnovationResearchQuantitative | InnovationPrototypeResearch |



