From cc3f49cd506429f377d7bebc8c903827c63394a7 Mon Sep 17 00:00:00 2001 From: Patrick Boudreaux Date: Mon, 2 Feb 2026 11:28:11 -0800 Subject: [PATCH] Refine descriptions of metric difference highlights Added callout for Metric Hover Cards to Experiments page. Clarify highlighting criteria for positive and negative differences in metrics. --- pages/docs/experiments.mdx | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/pages/docs/experiments.mdx b/pages/docs/experiments.mdx index 1a14934544..f074775042 100644 --- a/pages/docs/experiments.mdx +++ b/pages/docs/experiments.mdx @@ -99,10 +99,14 @@ The Experiments report identifies significant differences between the Control an Metric rows in the table are highlighted when any difference is calculated with high confidence. Specifically, if the difference is greater than the confidence interval you set up during the experiment configuration -- Positive differences, where the variant value is higher than the control, are highlighted in green -- Negative differences, where the variant value is lower than the control, are highlighted in red +- Positive differences, where the variant value is in the target direction compared to the control, are highlighted in green +- Negative differences, where the variant value is opposite the target direction compared to the control, are highlighted in red - Statistically insignificant results remain gray + +Hover over a value in a metric row to see more detail behind the numbers and to view the metric in Insights. + + ### How do you read statistical significance? Statistical significance (p-value) helps you determine whether your experiment results are likely to hold true for the full rollout, giving you confidence in your decisions.