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| Criterion |  Operations PDCA Cycle |  Product Discovery Smoke Test |  Innovation Lean Startup |  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. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight. | 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 | Low | Medium | High |
Timedifferent | 1 h bis mehrere Wochen | 1-5 Tage | Wochen bis Monate je Lernzyklus | 1-4 Wochen |
Participantsdifferent | 1-8 | Nutzertraffic | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Interest Metrics, Conversion Signal, Learning Note | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Experiment results, Decision log, Learning summary |
Tagsno overlap | Continuous improvementLeanExperiments | ValidationExperimentsDemandGrowth | LeanStartupValidationMVP | ExperimentsGrowthAnalyticsValidation |