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| Criterion |  Product Discovery Outcome-Driven Innovation |  UX Research User Interviews |  Product Discovery Concierge MVP |  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 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 an idea can first fail or grow through genuine hands-on support, it relies on manual work instead of automation. It shows whether user value holds up even under manual execution. | 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 | Low | Medium | Low |
Timedifferent | Mehrere Wochen | 30–60 min per interview | 1-4 Wochen | 30-60 min |
Participantsdifferent | 2-6 researchers plus sample | 1 participant per interview | 3-10 Kunden | 1-5 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Interview Notes, Themes, Insight Summary | Concierge Learnings, Service Blueprint, MVP Risks | Completed Experiment Canvas, Success Metric |
Tagsno overlap | OutcomesInnovationResearchQuantitative | QualitativeResearchCustomerDiscovery | MVPValidationServiceDiscovery | ExperimentsValidationDiscoveryHypothesis |