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| Criterion |  Growth A/B Testing |  Product Discovery Hypothesis Prioritization Canvas |  Facilitation Dot Voting |
|---|---|---|---|
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 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 a workshop has produced too many options and the group needs to condense quickly, dot voting makes preferences visible in a short time. It bundles individual votes into a solid signal for the next selection. |
Complexitydifferent | High | Medium | Low |
Timedifferent | 1-4 Wochen | 60-90 min | 5-15 min |
Participantsdifferent | 1-6 | 3-8 | 3-20 |
Formatdifferent | Async | Workshop | Workshop |
Outputdifferent | Experiment results, Decision log, Learning summary | Prioritization Canvas, Hypothesis Backlog | Ranked list, Consensus signal, Shortlist |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | ExperimentsPrioritizationDiscoveryHypothesis | FacilitationVotingConsensusPrioritization |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
