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| Criterion |  Operations A3 Problem Solving |  Growth A/B Testing |  UX Design Service Blueprinting |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | For a complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit together. | 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 a service experience is spread across several touchpoints, it brings frontstage and backstage together. It shows where user contact and internal responsibility must fit. | 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. |
Complexitydifferent | Medium | High | High | Low |
Timedifferent | 45-90 min | 1-4 Wochen | 0.5-2 Tage | 1-5 Tage |
Participantsdifferent | 2-5 | 1-6 | 6-12 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Workshop | Async |
Outputdifferent | A3 Report, Action Plan, Root Cause Analysis | Experiment results, Decision log, Learning summary | Service Blueprint, Fail Points, Ownership Map | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | LeanProblem solvingCoachingOperations | ExperimentsGrowthAnalyticsValidation | Service designOperationsJourneyBlueprint | ValidationExperimentsDemandGrowth |