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| Criterion | ![]() UX Research User Interviews | ![]() UX Research Surveys | ![]() Innovation Design Thinking | ![]() Product Discovery Experiment Canvas |
|---|---|---|---|---|
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. | 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. | 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. | 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 | Low | Medium | High | Low |
Timedifferent | 30–60 min per interview | 3-14 Tage | 1 Tag bis mehrere Wochen | 30-60 min |
Participantsdifferent | 1 participant per interview | 50+ | 4-10 | 1-5 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop + async |
Outputdifferent | Interview Notes, Themes, Insight Summary | Survey Results, Charts, Segment Insights | Problem Statement, Prototype, Test Learnings | Completed Experiment Canvas, Success Metric |
Tagsno overlap | QualitativeResearchCustomerDiscovery | QuantitativeResearchValidation | InnovationPrototypeResearch | ExperimentsValidationDiscoveryHypothesis |



