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| Criterion |  Product Discovery Smoke Test |  Delivery RAID Log |  Growth A/B Testing |  Growth Funnel Analysis |
|---|---|---|---|---|
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. | 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 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 | 1-5 Tage | 30 min Setup, dann laufend | 1-4 Wochen | 1-3 h |
Participantsdifferent | Nutzertraffic | 1-3 maintaining, briefing for everyone | 1-6 | 1-5 |
Formatsame | Async | Async | Async | Async |
Outputdifferent | Interest Metrics, Conversion Signal, Learning Note | RAID Log, Status Report Source | Experiment results, Decision log, Learning summary | Funnel report, Drop-off analysis, Optimization hypotheses |
Tagsno overlap | ValidationExperimentsDemandGrowth | RiskTrackingStakeholdersGovernance | ExperimentsGrowthAnalyticsValidation | AnalyticsConversionGrowth |