Sample Ratio Mismatch (SRM) Checker

Automatically performs Sample Ratio Mismatch (SRM) test and flags potential issues on supported experimentation platforms.
What is Sample Ratio Mismatch (SRM) Checker?
Sample Ratio Mismatch (SRM) Checker is a Chrome extension that automatically performs SRM checks on supported experimentation platforms. It helps identify potential data quality issues in online experiments, providing insights for improving accuracy and reliability.

Extension stats

Users: 471 ▲ 10
Rating: 5.00 (1)
Version: 0.0.8 (Last updated: 2023-06-03)
Creation date: 2020-03-11
Risk impact: Moderate risk impact
Risk likelihood: Low risk likelihood
Manifest version: 2
Permissions:
  • tabs
Size: 14.35K

Other platforms

Not available on Firefox
Not available on Edge
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Extension summary

The Sample Ratio Mismatch (SRM) test can be used to detect a wide variety of data quality issues that may affect online experiments (aka A/B tests). Only expected proportions and observed sample counts are required as input for this procedure, so this test can be used even in cases where experimenters only have access to summary statistics; such as when using third-party tools. This Chrome Extension automatically performs SRM checks and flags potential data quality issues on supported experimentation platforms.

Supported platforms:

  • Convert.com
  • Google Optimize
  • Omniconvert
  • Optimizely
  • SiteGainer/Symplify
  • Visual Website Optimizer (VWO)
  • Zoho PageSense

More information about SRM and this extension is available at https://lukasvermeer.nl/srm/.

Sample Ratio Mismatch Checker was created by Lukas Vermeer, Heinrich Mahr and Georgi Georgiev.

User reviews

This is excellent! Thankyou. If only it would diagnose the problem too :P
by Rob Aherne, 2022-07-14
View all user reviews

Extension safety

Risk impact

Sample Ratio Mismatch (SRM) Checker requires a few sensitive permissions. Exercise caution before installing.

Risk likelihood

Sample Ratio Mismatch (SRM) Checker has earned a fairly good reputation and likely can be trusted.

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