Introducing CURE: Smarter regression, faster experiments

Statsig has launched CURE, an advanced regression adjustment tool for experiments, which builds upon the existing CUPED framework by allowing the incorporation of arbitrary covariate data to reduce variance more effectively. CURE is especially beneficial for experiments involving new users or scenarios without historical data, enabling more precise measurement with fewer participants. By leveraging a variety of user attributes as covariates, such as country or behavior predictions, CURE aims to provide a transparent and flexible approach to regression adjustment without the complexity of a "black box" system. The tool supports project-level configuration and managed feature selection to maintain data quality and prevent issues like collinearity. Initial tests have shown a 10-40% decrease in experiment runtimes compared to CUPED, highlighting its potential for improving experiment efficiency and insight into metric behavior.