Hamel Husain says AI product managers need data literacy above all else. Writing SQL, reading spreadsheets, and understanding metrics matter as much in AI as they do in traditional product management. The skill hasn't changed, just the stakes.
What are the fundamental concepts or things that you think folks building AI products really need to know about the process of getting to higher quality products?
The most important thing is looking at data, and I, I believe from working with many product managers, looking at data has always been a thing. Even before AI, I'm pretty sure that product managers that like can like write a little bit of SQL are okay with spreadsheets, looking at numbers, looking at metrics. You know, that feels like it's kind of table stakes for being a good product manager nowadays. There's just a little bit of a twist on it for AI, but really the same thing applies.
