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| Criterion |  Product Discovery Smoke Test |  Operations Change Analysis |  Operations Root Cause Analysis |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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 a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise. | When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another. | 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 | Medium | Medium | High |
Timedifferent | 1-5 Tage | 45-120 min | 1-4 h | 1-4 Wochen |
Participantsdifferent | Nutzertraffic | 2-6 | 3-8 | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | Interest Metrics, Conversion Signal, Learning Note | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Experiment results, Decision log, Learning summary |
Tagsno overlap | ValidationExperimentsDemandGrowth | ChangeRoot causeTroubleshootingComparison | Root causeProblem solvingQualityIncident | ExperimentsGrowthAnalyticsValidation |