A/B Testing for Product

A/B testing involves comparing two versions of a product feature or user experience to measure which performs better against specific metrics. Teams implement controlled experiments by randomly assigning users to variant groups and collecting data on outcomes like conversion rates, engagement, or retention. This method is used to make evidence-based decisions about product changes, optimize user interfaces, and validate hypotheses before full-scale rollout.

A/B Testing for Product sits under Product Discovery and Research in the Product & Program Management domain of the Luminid skills catalogue.

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