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| Criterion | ![]() Growth A/B Testing | ![]() Operations A3 Problem Solving | ![]() Operations Kaizen Event | ![]() Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | For a tightly scoped process segment with noticeable waste, the method bundles shared energy for change. It suits situations that call for fast learning loops and visible adjustments. | 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 | High | Medium | Medium | Low |
Timedifferent | 1-4 Wochen | 45-90 min | 0.5-5 Tage | 1-5 Tage |
Participantsdifferent | 1-6 | 2-5 | 4-10 | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Workshop | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | A3 Report, Action Plan, Root Cause Analysis | Kaizen Charter, Waste List, Improvement Experiments, Standard Work Update | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | LeanProblem solvingCoachingOperations | LeanContinuous improvementOperations | ValidationExperimentsDemandGrowth |



