"It wasn't incompetence, but rather a loss of clarity in the rush to deliver - a failure of judgment, not execution. I've been in that room before - on the other side. I've watched teams I led ship features that solved problems no one had previously identified. The hard lesson: executing speed without clear judgment gets you to failure faster."
"Teams emphasize that judgment can't be automated. Yet, AI clearly performs tasks that resemble judgment, such as identifying patterns, flagging contradictions, and synthesizing insights across dozens of interviews. So what's the distinction that matters? AI excels at pattern-based reasoning: recognizing correlations in data, clustering similar themes, and optimizing within defined parameters. Humans provide meaning-based judgment: interpreting what patterns signify about real needs, deciding which correlations reveal causation, and determining what's worth pursuing given purpose and values."
Talented teams can ship features on time and meet velocity metrics yet fail to articulate the customer problems those features solve. Speedy execution without clear discovery judgment accelerates failure rather than success. AI can identify patterns, flag contradictions, and synthesize across interviews, but pattern-based reasoning differs from human meaning-based judgment. Meaning-based judgment interprets patterns, assesses causation, and chooses what aligns with purpose and values. Discovery judgment has become the primary constraint in product development. A systematic framework highlights 19 judgment points where human judgment, not just data patterns, decides whether to build.
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