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| Criterion |  Growth Funnel Analysis |  Delivery RAID Log |  Growth A/B Testing |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
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 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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Medium | Low | High | Low |
Timedifferent | 1-3 h | 30 min Setup, dann laufend | 1-4 Wochen | 30-60 min |
Participantsdifferent | 1-5 | 1-3 maintaining, briefing for everyone | 1-6 | 1-5 |
Formatdifferent | Async | Async | Async | Workshop + async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | RAID Log, Status Report Source | Experiment results, Decision log, Learning summary | Completed Experiment Canvas, Success Metric |
Tagsno overlap | AnalyticsConversionGrowth | RiskTrackingStakeholdersGovernance | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryHypothesis |