I think the ideal is start with something that you think is causal, then do the discussed correlation analysis then it it looks fruitful, start testing by changing the distribution of the feature and if it is causal then you should see the kpi move in the same direction.

Does that make sense? Smaller steps to make sure you only invest if it is worth it