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What is the Minimum Detectable Effect?

sobes.tech AI

Answer from AI

Minimum Detectable Effect (MDE) is the smallest effect size (change in metric) that can be statistically reliably detected in an A/B test at a given significance level and test power.

In simpler terms, MDE indicates how much a metric (for example, conversion rate) must change for us to confidently say that the change is not due to chance.

Knowing the MDE helps to:

  • Determine the required sample size for the test.
  • Understand which changes are truly significant for the business.

For example, if the MDE is 5%, it means the test can detect an improvement or deterioration in the metric of at least 5% with the specified statistical confidence.