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| Criterion |  Product Discovery Landing Page Test |  Product Discovery Hypothesis Prioritization Canvas |  Growth Growth Experiment |  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 many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | When growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment. | 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 | Medium | Medium | High |
Timedifferent | 1-5 Tage | 60-90 min | 1-2 Wochen | 1-4 Wochen |
Participantsdifferent | Nutzertraffic | 3-8 | 1-6 | 1-6 |
Formatdifferent | Async | Workshop | Workshop + async | Async |
Outputdifferent | Landing Page, Conversion Data, Learning Summary | Prioritization Canvas, Hypothesis Backlog | Experiment card, Result summary, Next bet | Experiment results, Decision log, Learning summary |
Tagsno overlap | ValidationConversionMarketing | ExperimentsPrioritizationDiscoveryHypothesis | MarketingGrowthExperimentsLearning | ExperimentsGrowthAnalyticsValidation |