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| Criterion |  Operations PDCA Cycle |  Product Discovery Opportunity Solution Tree |  Product Discovery Outcome-Driven Innovation |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | 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. | 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 | Low | Medium | High | Low |
Timedifferent | 1 h bis mehrere Wochen | 1-2 h Setup, laufend | Mehrere Wochen | 30-60 min |
Participantsdifferent | 1-8 | 2-6 | 2-6 researchers plus sample | 1-5 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Opportunity Solution Tree, Experiment Backlog, Learning Log | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Completed Experiment Canvas, Success Metric |
Tagsno overlap | Continuous improvementLeanExperiments | DiscoveryOutcomesExperimentsOpportunity | OutcomesInnovationResearchQuantitative | ExperimentsValidationDiscoveryHypothesis |