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| Criterion |  Growth Funnel Analysis |  Architecture Request for Comments |  Growth A/B Testing |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | 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. | An RFC clarifies architecture context, options, and consequences. It structures technical context, alternatives, tradeoffs, open questions, and review feedback, and captures the result as an RFC document, reviewer comments, and a decision rationale. | 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 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 | Medium | Medium | High | Low |
Timedifferent | 1-3 h | 1-3 Wochen vom Draft bis zur Entscheidung | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 1-5 | 3-20 Reviewer | 1-6 | Nutzertraffic |
Formatsame | Async | Async | Async | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | RFC document, Reviewer comments, Decision rationale, Follow-up ADR or tickets | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | AnalyticsConversionGrowth | ArchitectureDecisionAsyncGovernance | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |