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| Criterion |  Operations PDCA Cycle |  Product Discovery Outcome-Driven Innovation |  Innovation Design Sprint |  Growth A/B Testing |
|---|---|---|---|---|
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. | 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 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 | Low | High | High | High |
Timedifferent | 1 h bis mehrere Wochen | Mehrere Wochen | 4-5 Tage | 1-4 Wochen |
Participantsdifferent | 1-8 | 2-6 researchers plus sample | 5-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Prototype, Test Findings, Decision Rationale | Experiment results, Decision log, Learning summary |
Tagsno overlap | Continuous improvementLeanExperiments | OutcomesInnovationResearchQuantitative | Design sprintPrototypeValidationInnovation | ExperimentsGrowthAnalyticsValidation |