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Update contents/docs/experiments/sample-size-running-time.mdx
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Co-authored-by: Ian Vanagas <[email protected]>
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jurajmajerik and ivanagas authored Jul 16, 2024
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Expand Up @@ -32,7 +32,8 @@ For funnel experiments, we use the general [Sample size determination](https://e

These values serve as estimates for how long to run the experiment. It's possible to conclude experiments early if you observe a significant effect.

## Minimum Detectable Effect (MDE)
## Minimum detectable effect (MDE)

When setting up an experiment, the Minimum Detectable Effect (MDE) is a required parameter for estimating sample size and running time. The MDE represents the smallest change or difference that you want to be able to detect in your experiment. Essentially, it's the minimum improvement you would consider significant.

To make things easier, we set a default MDE value to get you started, we provide an estimated MDE value by default. This allows you to create experiments quickly without getting stuck on this step. However, we encourage you to review and adjust this value based on your specific goals. If you have a particular MDE in mind, feel free to set it accordingly.
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