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| Criterion |  UX Research User Interviews |  Product Discovery Outcome-Driven Innovation |  Innovation Design Sprint |  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. | 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 the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess. | 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 | High | High | Low |
Timedifferent | 30–60 min per interview | Mehrere Wochen | 4-5 Tage | 30-60 min |
Participantsdifferent | 1 participant per interview | 2-6 researchers plus sample | 5-8 | 1-5 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Interview Notes, Themes, Insight Summary | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Prototype, Test Findings, Decision Rationale | Completed Experiment Canvas, Success Metric |
Tagsno overlap | QualitativeResearchCustomerDiscovery | OutcomesInnovationResearchQuantitative | Design sprintPrototypeValidationInnovation | ExperimentsValidationDiscoveryHypothesis |