A/B testing helps you to optimize your conversational artificial intelligence (AI) strategy. It is sometimes also referred to as bucket testing, split-run testing, or split testing. A/B testing is used in behavioral analysis and is especially helpful in the business world. It gets its name from the experiment that underlies its test. A/B testing is an experiment that runs with two variables—one control and one that is identical except for one change in a user’s behavior.
Dasha AI encourages A/B testing with its products to help you create seamless conversations between your customers and software. This article will outline the correct metrics to use, the areas of impact test, and roadmap prioritization.