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| Criterion |  Product Discovery Smoke Test |  Operations Gemba Walk |  Growth A/B Testing |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | 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 there is uncertainty about the real course of a process, the method brings observation to the place where work happens. It combines perception, follow-up questions, and process knowledge so decisions rest on actual workflows instead of assumptions. | 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. | 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 | Low | Low | High | Low |
Timedifferent | 1-5 Tage | 30-120 min | 1-4 Wochen | 30-60 min |
Participantsdifferent | Nutzertraffic | 2-6 | 1-6 | 1-5 |
Formatdifferent | Async | Workshop | Async | Workshop + async |
Outputdifferent | Interest Metrics, Conversion Signal, Learning Note | Observation Notes, Improvement Ideas | Experiment results, Decision log, Learning summary | Completed Experiment Canvas, Success Metric |
Tagsno overlap | ValidationExperimentsDemandGrowth | LeanObservationProcessOperations | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryHypothesis |