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| Criterion |  Operations Standard Work Analysis |  Product Discovery Smoke Test |  Innovation Design Thinking |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When the same task is done differently depending on the person, the method exposes the reliable core. It creates comparability without unnecessarily choking off needed latitude. | 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 complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. | 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 | Medium | Low | High | High |
Timedifferent | 1-3 h | 1-5 Tage | 1 Tag bis mehrere Wochen | 1-4 Wochen |
Participantsdifferent | 2-6 | Nutzertraffic | 4-10 | 1-6 |
Formatdifferent | Workshop | Async | Workshop | Async |
Outputdifferent | Standard Work Sheet, Deviation List, Improved Standard, Training Needs | Interest Metrics, Conversion Signal, Learning Note | Problem Statement, Prototype, Test Learnings | Experiment results, Decision log, Learning summary |
Tagsno overlap | LeanProcessQuality | ValidationExperimentsDemandGrowth | InnovationPrototypeResearch | ExperimentsGrowthAnalyticsValidation |