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| Criterion |  Growth Funnel Analysis |  Operations Ivy Lee Method |  Product Discovery Smoke Test |  Growth A/B Testing |
|---|---|---|---|---|
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. | With a restless workday full of too many open items, the method creates radical simplicity. It directs attention to a short sequence instead of a broad, still-open field. | 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. |
Complexitydifferent | Medium | Low | Low | High |
Timedifferent | 1-3 h | 5-10 min daily | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 1-5 | 1 | Nutzertraffic | 1-6 |
Formatsame | Async | Async | Async | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Daily Priority List, Completion Notes | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary |
Tagsno overlap | AnalyticsConversionGrowth | PrioritizationProductivityExecution | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation |