There is no ideal solution to this yet, but we are trying to come as closely as possible to it.
For instance, at InnerTrends we have decided to take an intermediate step before having machine learning dictating which is the longest common path from dashboard to payment.
The step I’m talking about implies asking our clients which is the common path they assume users take to go from dashboard to payment. And we will test it and tell them how successful it is.
It does mean they will have a bit more work to do, testing out a few paths users take, but you will probably come very close to the answer they are looking for.
The longer the path you are mapping is, and the larger the client base you are analyzing, the easier you will understand which are the points users need to go through, and which is their order, so that they convert.