View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Growth Funnel Analysis |  Delivery RAID Log |  Product Discovery Fake Door 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. | 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 is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. | 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 | Medium | High |
Timedifferent | 1-3 h | 30 min Setup, dann laufend | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 1-5 | 1-3 maintaining, briefing for everyone | Nutzertraffic | 1-6 |
Formatsame | Async | Async | Async | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | RAID Log, Status Report Source | Click Data, Interest Signal, Learning Decision | Experiment results, Decision log, Learning summary |
Tagsno overlap | AnalyticsConversionGrowth | RiskTrackingStakeholdersGovernance | ValidationExperimentsDemandDiscovery | ExperimentsGrowthAnalyticsValidation |