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| Criterion |  Product Discovery Outcome-Driven Innovation |  Operations PDCA Cycle |  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. | 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 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 | Low |
Timedifferent | Mehrere Wochen | 1 h bis mehrere Wochen | 30-60 min |
Participantsdifferent | 2-6 researchers plus sample | 1-8 | 1-5 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Completed Experiment Canvas, Success Metric |
Tagsno overlap | OutcomesInnovationResearchQuantitative | Continuous improvementLeanExperiments | ExperimentsValidationDiscoveryHypothesis |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
