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| Criterion |  Growth A/B Testing |  Delivery RAID Log |  Product Discovery Smoke Test |  Growth Funnel Analysis |
|---|---|---|---|---|
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. | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as a RAID Log and a source for status reporting. | 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 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 | High | Low | Low | Medium |
Timedifferent | 1-4 Wochen | 30 min Setup, dann laufend | 1-5 Tage | 1-3 h |
Participantsdifferent | 1-6 | 1-3 maintaining, briefing for everyone | Nutzertraffic | 1-5 |
Formatsame | Async | Async | Async | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | RAID Log, Status Report Source | Interest Metrics, Conversion Signal, Learning Note | Funnel report, Drop-off analysis, Optimization hypotheses |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | RiskTrackingStakeholdersGovernance | ValidationExperimentsDemandGrowth | AnalyticsConversionGrowth |