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| Criterion |  Operations Gemba Walk |  Decision Making Delphi Method |  Product Discovery Smoke Test |  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 knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. | 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 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 | Low | High |
Timedifferent | 30-120 min | 1-4 Wochen | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 2-6 | 6-30 Experten | Nutzertraffic | 1-6 |
Formatdifferent | Workshop | Async | Async | Async |
Outputdifferent | Observation Notes, Improvement Ideas | Expert Forecast, Consensus Range, Assumption Notes | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary |
Tagsno overlap | LeanObservationProcessOperations | ForecastingExpertsDecisionStrategy | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation |