Interpreting A/B experiment results can often be complex, especially when assessing the significance of observed differences. To provide greater clarity and statistical context, confidence intervals have been introduced. These intervals help indicate the range within which the true effect is likely to fall, making it easier to evaluate the reliability of experiment outcomes. Confidence intervals are visualized on a time series chart, positioned directly below the standard A/B test results.