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| Criterion |  UX Research Surveys |  UX Research User Interviews |  Product Discovery Outcome-Driven Innovation |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | 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 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. | 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 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 | Medium | Low | High | Low |
Timedifferent | 3-14 Tage | 30–60 min per interview | Mehrere Wochen | 30-60 min |
Participantsdifferent | 50+ | 1 participant per interview | 2-6 researchers plus sample | 1-5 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Survey Results, Charts, Segment Insights | Interview Notes, Themes, Insight Summary | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Completed Experiment Canvas, Success Metric |
Tagsno overlap | QuantitativeResearchValidation | QualitativeResearchCustomerDiscovery | OutcomesInnovationResearchQuantitative | ExperimentsValidationDiscoveryHypothesis |