Hacks with customers: Experiment quality score

Statsig has introduced an "experiment quality score" to help teams assess and improve the rigor of their A/B testing. This score provides a structured framework for evaluating the setup and execution of experiments, focusing on criteria such as targeting, sample size, and metric selection to ensure reliable data collection and trustworthy results. By tracking experiment quality over time, teams can enhance their experimentation processes and decision-making confidence. The feature allows customization of assessment criteria weights to suit different organizational needs, and once enabled, it automatically evaluates and displays the quality score for each experiment. Statsig is rolling out this feature and offers documentation, community support, and demos to assist users in leveraging this tool effectively.