A/B testing is a tool that tests two variants to gather objective user experience data through quantitative analysis. It can help make communications efforts data-driven by informing strategies and decision making. To design effective A/B tests, one should follow the scientific method by asking a question, forming a hypothesis, creating a control and variable test groups, analyzing the collected data to draw conclusions, and sharing those conclusions for future experiments.