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| Criterion |  Growth A/B Testing |  Agile Affinity Estimation |  Product Discovery Test Card |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|---|
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 many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes. | The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success. | 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. |
Complexitydifferent | High | Medium | Low | Medium |
Timedifferent | 1-4 Wochen | 30-90 min | 20-35 min | 60-90 min |
Participantsdifferent | 1-6 | 3-12 | 1-5 | 3-8 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop |
Outputdifferent | Experiment results, Decision log, Learning summary | Affinity Size Map, Grouped Estimates, Unclear Items | Test Card with a pre-set threshold | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | EstimationBacklogRelative sizing | ExperimentsValidationDiscoveryHypothesis | ExperimentsPrioritizationDiscoveryHypothesis |