Updating docs for Breakdowns by Cohort Analysis (#1770)

efahk · web-flow · commit 016f2d3aa70c · 2025-02-18T16:35:58.000-08:00
* Updating docs for Breakdowns by Cohort Analysis We recently received, a SRFE, https://mixpanel.atlassian.net/browse/SRFE-7422, that shows there's a bit of a gap in understanding the results of queries that breakdown multiple cohort. Updating the documentation to hopefully make this a bit clearer and more intuitive for customers. Appreciate any feedback! * Update cohorts.mdx
diff --git a/pages/docs/users/cohorts.mdx b/pages/docs/users/cohorts.mdx
@@ -92,6 +92,7 @@ You can use cohorts to filter any of your analysis by selecting a cohort from th
 
 You can compare the behavior of different cohorts by selecting a cohort from the breakdown menu. For example, you can use this to see how engagement compares for Power Users vs All Users.
 
+When breaking down metrics by multiple cohorts, events are evaluated independently against each cohort. Consider an insights report that counts all events broken down by 3 cohorts, 'Power Users in North America', 'Power Users in Europe', and 'All Power Users'. An event belonging to a power user in North America, would contribute to the sum for buckets, `In 'Power Users in North America'`, `In 'All Power Users'`, and `Not In 'Power Users in Europe'`.
 
 ## How Cohorts are Computed
 

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`@@ -92,6 +92,7 @@ You can use cohorts to filter any of your analysis by selecting a cohort from th`
`92`	`92`
`93`	`93`	`You can compare the behavior of different cohorts by selecting a cohort from the breakdown menu. For example, you can use this to see how engagement compares for Power Users vs All Users.`
`94`	`94`
	`95`	+When breaking down metrics by multiple cohorts, events are evaluated independently against each cohort. Consider an insights report that counts all events broken down by 3 cohorts, 'Power Users in North America', 'Power Users in Europe', and 'All Power Users'. An event belonging to a power user in North America, would contribute to the sum for buckets, `In 'Power Users in North America'`, `In 'All Power Users'`, and `Not In 'Power Users in Europe'`.
`95`	`96`
`96`	`97`	`## How Cohorts are Computed`
`97`	`98`