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| Criterion |  Growth A/B Testing |  Product Discovery Experiment Canvas |  Growth Funnel Analysis |  Product Discovery Test Card |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success. |
Complexitydifferent | High | Low | Medium | Low |
Timedifferent | 1-4 Wochen | 30-60 min | 1-3 h | 20-35 min |
Participantsdifferent | 1-6 | 1-5 | 1-5 | 1-5 |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Completed Experiment Canvas, Success Metric | Funnel report, Drop-off analysis, Optimization hypotheses | Test Card with a pre-set threshold |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryHypothesis | AnalyticsConversionGrowth | ExperimentsValidationDiscoveryHypothesis |