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| Criterion |  Product Discovery Outcome-Driven Innovation |  Operations PDCA Cycle |  Innovation Design Sprint |  Growth A/B Testing |
|---|---|---|---|---|
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 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 two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. |
Complexitydifferent | High | Low | High | High |
Timedifferent | Mehrere Wochen | 1 h bis mehrere Wochen | 4-5 Tage | 1-4 Wochen |
Participantsdifferent | 2-6 researchers plus sample | 1-8 | 5-8 | 1-6 |
Formatdifferent | 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 | Prototype, Test Findings, Decision Rationale | Experiment results, Decision log, Learning summary |
Tagsno overlap | OutcomesInnovationResearchQuantitative | Continuous improvementLeanExperiments | Design sprintPrototypeValidationInnovation | ExperimentsGrowthAnalyticsValidation |