Controlled experiments and/or causal analysis.
Does statistical causal analysis work when there are this many variables? Feels like that would just be essentially a case study again.
Yes, that's the whole point. It works when you can "simulate" experiments by looking at a large number of events.
E.g. DNA evolution in genetics, drug testing in medicine, studying failure modes in aeronautics...
Clayton's Christensen's disruption theory was useful.
But nothing's bulletproof, of course.
So maybe looking at the methodologies serious business academics use to write their PHD, and their work in general, is a good alternative to case studies ?
There is a lot of knowledge in the world that we'll never get RCTs for and we just have to learn the best we can.
This is what investing is.
Also, when they did this no-one had apps or delivery. The pizza market is growing but DPZ took massive share as well. It is surprising to me that so many people are armchair quarterbacking this (I know someone who bought them at $5...all of the stuff mentioned in the article was the bull case: online growth, mismanaged, etc.).