I definitely buy the idea of product intuition and agree that people who "spend time in different subjects/domains and thinking about different things tend to be better" at it. Essentially the more data you feed your internal AI, the better it gets :) Also, being able to circle back to times when product intuition was wrong and why (what did I miss? was it a data point or execution?) is invaluable.
I definitely buy the idea of product intuition and agree that people who "spend time in different subjects/domains and thinking about different things tend to be better" at it. Essentially the more data you feed your internal AI, the better it gets :) Also, being able to circle back to times when product intuition was wrong and why (what did I miss? was it a data point or execution?) is invaluable.
I use a 2 step process to get intution, this has served me well -
(1) look at quantitative data (averages, medians, etc.) and pick some data points.
(2) find 5 actual examples that support that data point and 5 that don't.
Doing this for the key data points helps with building the intution.