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| Criterion |  UX Research User Interviews |  Operations PDCA Cycle |  Product Discovery Opportunity Solution Tree |  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. | For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode. | When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | 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 | Low | Medium | Low |
Timedifferent | 30–60 min per interview | 1 h bis mehrere Wochen | 1-2 h Setup, laufend | 30-60 min |
Participantsdifferent | 1 participant per interview | 1-8 | 2-6 | 1-5 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Interview Notes, Themes, Insight Summary | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Opportunity Solution Tree, Experiment Backlog, Learning Log | Completed Experiment Canvas, Success Metric |
Tagsno overlap | QualitativeResearchCustomerDiscovery | Continuous improvementLeanExperiments | DiscoveryOutcomesExperimentsOpportunity | ExperimentsValidationDiscoveryHypothesis |