We’re all saturated with takes on how AI will change product management. But beyond the splashy headlines about replacing PMs, a more interesting, practical shift is happening right now in product discovery.
AI tools are becoming incredibly powerful at the top of the funnel. They can synthesize thousands of customer support tickets, analyze user session recordings for frustration points, and identify emerging themes from App Store reviews in minutes, not weeks. This allows us to move from anecdotal evidence to data-backed hypotheses with unprecedented speed.
This isn’t about replacing the PM; it’s about augmenting our intuition. Instead of spending days slogging through raw data, we can leverage AI to surface the most critical patterns, freeing us up to focus on the strategic, human-centric parts of discovery: asking deeper ‘why’ questions, observing users in their context, and building empathy. The risk, of course, is becoming too reliant on the algorithm and losing that crucial, nuanced human insight that often sparks true innovation.
So, where do we draw the line? How do we balance the efficiency of AI-driven analysis with the irreplaceable value of genuine human connection?
How are you using AI in your discovery process, and where do you personally draw the line between machine-driven insights and human intuition?