A/B Testing

An approach to testing a market hypothesis where different sets of users (personas) experience unique features. A/B testing is used in lean-agile marketing, product development, business development and innovation, because it reveals user behavior and metrics that can validate or invalidate a hypothesis without the need for a big product/service release. Often the difference between the A and B test samples are a single variable.

See also: A/B Testing (wikipedia)