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| Criterion |  Product Discovery Landing Page Test |  Product Discovery Experiment Canvas |  Growth Funnel Analysis |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When a value proposition first needs to be checked for resonance, it condenses the idea onto a focused entry page. It shows whether language and offering carry interest. | 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. | 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 | 1-5 Tage | 30-60 min | 1-3 h | 1-4 Wochen |
Participantsdifferent | Nutzertraffic | 1-5 | 1-5 | 1-6 |
Formatdifferent | Async | Workshop + async | Async | Async |
Outputdifferent | Landing Page, Conversion Data, Learning Summary | Completed Experiment Canvas, Success Metric | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment results, Decision log, Learning summary |
Tagsno overlap | ValidationConversionMarketing | ExperimentsValidationDiscoveryHypothesis | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation |