My backgrpund is in ux design and strategic planning and I've recently started learning about Causal ML (as part of learning ML).
I found that you already need to bring your assumption/reasoning of causation to the model as a flow chart, it's usually more than A leads to B. Causal ML then uses your data to predict the accuracy of your assumption.
Here's an obvious example:
If I have an A/B test of an ecommerce checkout, one blue and one red button. and in an a/b testing, red performs better. then a prediction model would learn that red performs better than blue.
In Causal ML, i would bring all factors in: background color, position, button color font, user & purchase information.
I can then create a first causal discovery model to come up with a network graph of the relation and then use causal ML to calculate the probability of effects.
Turns out, the color mages a difference for older shoppers because blue has lower contrast than red. so I could also choose another color with similar contrast for the same perfomance effect.
But I agree with you, a lot of that the thought work needs to be done before.
My backgrpund is in ux design and strategic planning and I've recently started learning about Causal ML (as part of learning ML).
I found that you already need to bring your assumption/reasoning of causation to the model as a flow chart, it's usually more than A leads to B. Causal ML then uses your data to predict the accuracy of your assumption.
Here's an obvious example:
If I have an A/B test of an ecommerce checkout, one blue and one red button. and in an a/b testing, red performs better. then a prediction model would learn that red performs better than blue.
In Causal ML, i would bring all factors in: background color, position, button color font, user & purchase information.
I can then create a first causal discovery model to come up with a network graph of the relation and then use causal ML to calculate the probability of effects.
Turns out, the color mages a difference for older shoppers because blue has lower contrast than red. so I could also choose another color with similar contrast for the same perfomance effect.
But I agree with you, a lot of that the thought work needs to be done before.