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| Criterion |  Operations Visual Management |  Product Discovery Smoke Test |  Business Strategy Value Chain Analysis |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | With high tempo and many parallel topics, the method makes status, deviations, and priorities visible at a glance. It reduces search effort and prevents what matters from getting lost in daily work. | 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. | Value Chain Analysis shows where value is created, costs accrue, and differentiation becomes possible along the process. It compares strengths, risks, market logic, and courses of action. The result is captured as a value-chain map and lever 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 | High | High |
Timedifferent | Ongoing | 1-5 Tage | Half day | 1-4 Wochen |
Participantsdifferent | 1-20 | Nutzertraffic | 3-8 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop | Async |
Outputdifferent | Visual Board, Status Indicators, Exception Cues | Interest Metrics, Conversion Signal, Learning Note | Value Chain Map, Lever List | Experiment results, Decision log, Learning summary |
Tagsno overlap | SignalsOperationsVisual management | ValidationExperimentsDemandGrowth | StrategyBusiness modelDiagnosisAnalysis | ExperimentsGrowthAnalyticsValidation |