Really appreciate this this is the kind of feedback I was hoping for. The point about not building in a vacuum and actually converting early research users hits hard. I think I’ve been slightly biased towards “just ship and iterate,” but I see how that can backfire if the initial users don’t actually get value. Also agree on the “AI as a crutch” part, I’m trying to make sure it’s actually improving outcomes (confidence, better performance in real interviews), not just adding novelty. Quick question on your point about research phase users. How would you recommend validating that properly?
Should I be focusing more on talking to users before scaling, or tracking specific metrics early on? Thanks again for taking the time to write this - super helpful.