I have read the books, taught the methods, and run the rituals. The thing I actually trade on, the thing that makes me worth listening to, is none of that. It is two decades of being wrong in consequential ways and surviving long enough to learn from it. No framework gave me that. No framework could have.
Frameworks are training wheels, and that is a compliment
When you cannot yet balance, training wheels are the difference between riding and falling on your face. A framework gives a junior PM a safe default and a shared language so their team knows what they are doing. RICE stops you prioritizing by whoever shouted loudest. An opportunity solution tree stops you jumping to the first solution. Jobs to be done stops you confusing the feature with the need. These are real services, and a PM who skips them to use their judgment before they have any is just falling on their face with extra confidence.
The entire point of training wheels is that you take them off. They get you riding. They do not teach you to balance, because balance is not a thing you can be told. Judgment is the balance, the framework is the wheels, and confusing the two is the central mistake of a lot of product careers.
Judgment is pattern recognition built from consequence
Judgment under ambiguity is the sense that this customer is telling you something different from what they are saying, that this metric is going to mislead you, that this is the moment to depart from the playbook and this other moment is not. It comes from exactly one place: making real decisions under real stakes, watching them play out, and being wrong enough times that the pattern forms. There is no shortcut, because the lesson is not propositional. It lives in the gap between what you predicted and what happened.
I learned most from the calls I got wrong. The feature I was sure customers wanted and they did not. The market timing I misjudged. The reorg I drew around a people problem that shipped a fault line into the product. Each installed a piece of judgment no book contained, because the book did not know my specific situation.
The AI era rewards exactly the wrong thing
Frameworks are explicit, repeatable, easy to test in an interview, and easy to mistake for competence. So the AI era cranks up the reward on framework fluency while earned judgment, the scarce asset, gets under-rewarded. An AI can already apply your framework better than you can. What it cannot do is know when the framework is wrong for this specific situation.
If judgment only comes from being wrong at scale, the move is to maximize consequential decisions and treat the wrong ones as the curriculum. Cheap experiments let you be wrong faster. This week, stop trying to learn another framework. Pick one real decision, write down your prediction and why before you decide, then check it against what happens. That written, checkable prediction is worth more than the next ten frameworks you could read.