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| Criterion |  Product Discovery Outcome-Driven Innovation |  UX Research Surveys |  Product Discovery Problem Interview |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
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. | 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 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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | High | Medium | Medium | Low |
Timedifferent | Mehrere Wochen | 3-14 Tage | 30-60 min je Interview | 30-60 min |
Participantsdifferent | 2-6 researchers plus sample | 50+ | 5-12 Interviews | 1-5 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Survey Results, Charts, Segment Insights | Problem Evidence, Risk Notes, Customer Segments | Completed Experiment Canvas, Success Metric |
Tagsno overlap | OutcomesInnovationResearchQuantitative | QuantitativeResearchValidation | DiscoveryInterviewsValidation | ExperimentsValidationDiscoveryHypothesis |