Two ways to measure the cumulative impact of experiments

Simply summing the observed lifts of winning experiments leads to an overestimation of their true impact, a phenomenon known as the "winner’s curse." To achieve more accurate results, organizations can either use a holdout group to measure cumulative effects directly or utilize statistical models, such as Datadog’s Cumulative Impact feature, to correct and aggregate individual estimates.