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Hi, can I get some guidance on how to check for *interaction effects*?

<https://docs.growthbook.io/using/experimentation-best-practices#interaction-effects-and-mutual-exclusion|GB Documentation mentions you can check, but not how>.

Thanks :slightly_smiling_face:

Hi Chris, good afternoon. Currently, we don't automatically detect interaction effects, but it is on our radar for a future roadmap. Unfortunately, at this time we cannot provide an approximate timeframe for this.

We have seen some of our customer base use statistical methods like ANOVA or regression to test for interaction effects.

For example, in a regression context, you can run the following regression:
```y = b0 + b1 ­* t1 + b2 ­* t2 + b3 ­* t1 ­* t2```
where ​`t1`​ is 0/1 for a/b in ab test 1 and ​`t2`​ is 0/1 for a/b in ab test 2. Then if ​`b3`​ is different from 0 there is evidence of an interaction effect

Hi <@U0758Q1HRCK> OK thanks for the details, I'll pass that onto our data specialist :slightly_smiling_face: