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| Criterion |  Growth Funnel Analysis |  Architecture Architecture Decision Record |  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. | An ADR permanently records an architecture decision with context, trade-offs, and consequence. It creates continuity for later changes because the decision path stays traceable. | 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 | 15-45 min | 1-4 Wochen | 30-60 min |
Participantsdifferent | 1-5 | 1-3 | 1-6 | 1-5 |
Formatdifferent | Async | Async | Async | Workshop + async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | ADR File, Decision Log, Rationale | Experiment results, Decision log, Learning summary | Completed Experiment Canvas, Success Metric |
Tagsno overlap | AnalyticsConversionGrowth | ArchitectureRationaleDocumentationGovernance | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryHypothesis |