After finishing my PhD in Computer Science (machine learning) and after several years as a university lecturer, I decided to transition from academia to industry. As a result of that, I have been working one year for a company, doing applied research.
In my latest performance review, my supervisor pointed out that my only negative point was that I still had an academic mindset towards research, and that I should be able to get better at what he called "risk analysis". He defined risk analysis as the skill of assessing in advance the potential benefits/drawbacks for the company of a given method/technique/algorithm. The aim of that is to be able to rapidly discard methods that are supposed to not solve the company's problems without having to waste too much time on implementing them.
I was wondering whether any learning resource exists (book, online course/resources) that may help me to acquire such a skill. More generally, any recommended reading about computer science research in industry would be much appreciated.