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| Criterion |  Operations Runbook |  Product Discovery Smoke Test |  Growth A/B Testing |  Growth Funnel Analysis |
|---|---|---|---|---|
Purposedifferent | For recurring operational tasks or incidents, the method keeps solid action logic ready. It reduces uncertainty when time pressure, role changes, or rare situations demand fast access. | 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. | 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 many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. |
Complexitydifferent | Low | Low | High | Medium |
Timedifferent | 20-60 min | 1-5 Tage | 1-4 Wochen | 1-3 h |
Participantsdifferent | 1-4 | Nutzertraffic | 1-6 | 1-5 |
Formatsame | Async | Async | Async | Async |
Outputdifferent | Runbook, Checklist, Escalation Path | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary | Funnel report, Drop-off analysis, Optimization hypotheses |
Tagsno overlap | OperationsReliabilityDocumentation | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation | AnalyticsConversionGrowth |