We’re all seeing the explosion of AI-powered tools designed to make product management ‘easier.’ They can transcribe and summarize user interviews, analyze thousands of feedback tickets in minutes, and even draft entire PRDs. The promise is massive: we can finally get out of the weeds and focus on high-level strategy.
But I’m starting to wonder about the hidden cost of this efficiency. Our craft is built on a deep, almost visceral, understanding of the user. We find game-changing insights not just in what users say, but in their hesitation, their tone, and the problems they can’t quite articulate. When we insert a layer of AI-driven abstraction, we get a perfect summary, but do we lose the soul?
By automating the synthesis of raw feedback, we risk becoming masters of efficiency but novices in empathy. We might get faster at building the thing right, but we could get worse at identifying the right thing to build in the first place. The danger is that we’re optimizing ourselves into becoming tactical feature-pushers instead of strategic problem-solvers.
How is your team using AI tools for discovery while still ensuring you stay deeply connected to the customer’s real, unfiltered voice?