View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Operations PDCA Cycle |  Product Discovery Smoke Test |  Product Discovery Fake Door Test |  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. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. | 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 | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 1-8 | Nutzertraffic | Nutzertraffic | 1-6 |
Formatdifferent | Workshop + async | Async | Async | Async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Interest Metrics, Conversion Signal, Learning Note | Click Data, Interest Signal, Learning Decision | Experiment results, Decision log, Learning summary |
Tags1 shared | Continuous improvementLeanExperiments | ValidationExperimentsDemandGrowth | ValidationExperimentsDemandDiscovery | ExperimentsGrowthAnalyticsValidation |