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| Criterion |  Operations Gemba Walk |  Product Discovery Smoke Test |  Product Strategy ICE Scoring |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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 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 ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list. | 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 | Low | High |
Timedifferent | 30-120 min | 1-5 Tage | 30-60 min | 1-4 Wochen |
Participantsdifferent | 2-6 | Nutzertraffic | 2-8 | 1-6 |
Formatdifferent | Workshop | Async | Workshop + async | Async |
Outputdifferent | Observation Notes, Improvement Ideas | Interest Metrics, Conversion Signal, Learning Note | ICE Table, Top Idea List | Experiment results, Decision log, Learning summary |
Tagsno overlap | LeanObservationProcessOperations | ValidationExperimentsDemandGrowth | PrioritizationScoringGrowthDecision | ExperimentsGrowthAnalyticsValidation |