I worked at a self-described "data-driven" company, and the analogy senior leadership liked to make was that the company was like a machine learning algorithm, using data (particularly A/B tests) to do "gradient descent" of the product into its optimal form. My first take-away was that using data to make decisions is tremendously, tremendously powerful. A/B tests, in particular, can help determine causality and drive…
> Being purely data-driven without good intuition and long-term bets (that can't be "proven" with data), and the product loses its soul. This sounds like post-hoc, anti-intellectual rationalization. How do you place long-term bets without a model to measure expectations versus outcomes? How do you know what good intuition is? There is a ton of research on "gut" calls that demonstrates it's random. > But data is not a…
Surely the data comes after the action, not prior to it?