From 0cd7d482d498cafc852bd248e86def01b76eb3bd Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Thu, 26 Feb 2026 09:39:08 +0000 Subject: [PATCH 1/2] Initial plan From 11687db1c7b69190a3d447120c18554e5f213524 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Thu, 26 Feb 2026 09:42:18 +0000 Subject: [PATCH 2/2] Fix broken anchor link, missing backtick, and grammar error in experiments.mdx Co-authored-by: argenisf <1126474+argenisf@users.noreply.github.com> --- pages/docs/experiments.mdx | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pages/docs/experiments.mdx b/pages/docs/experiments.mdx index e2003f2630..266e0be44e 100644 --- a/pages/docs/experiments.mdx +++ b/pages/docs/experiments.mdx @@ -51,7 +51,7 @@ Before creating an experiment report, ensure you have: Click 'New Experiment' from the Experiment report menu and select your experiment. Any experiment started in the last 30 days will automatically be detected and populated in the dropdown. To analyze experiments that began before 30 days, please hard-code the experiment name -Only experiments tracked via exposure events, i.e, $experiment_started`, can be analyzed in the experiment report. Read more on how to track experiments [here](#adding-experiments-to-an-implementation). +Only experiments tracked via exposure events, i.e, `$experiment_started`, can be analyzed in the experiment report. Read more on how to track experiments [here](#implementation-for-experimentation). ### Step 2: Choose the ‘Control’ Variant @@ -257,7 +257,7 @@ Bonferroni Correction addresses this by making the significance threshold strict - You have multiple treatment variants competing against control - You want higher confidence that significant results are real -Bonferroni Correction is conservative. It reduces false positives but also makes it harder to detect true effects. If you have a single metric matters most to you, you may prefer to focus on that primary metric without correction. +Bonferroni Correction is conservative. It reduces false positives but also makes it harder to detect true effects. If you have a single metric that matters most to you, you may prefer to focus on that primary metric without correction. ### Winsorization