Gist: LaunchDarkly introduces stratified sampling for experiments to reduce covariate imbalance and make test results more trustworthy. The feature uses existing metadata to balance traffic across groups before rollout decisions.
Signal reason: The primary subject is a new experimentation capability: stratified sampling.
