Hey everyone, I’ve been thinking a lot about the explosion of AI-powered analytics tools. It feels like every day there’s a new platform promising to uncover “hidden user insights” from mountains of data. It’s powerful stuff, and it’s enabling us to see patterns and correlations at a scale we couldn’t before.
But it also raises a critical question for us as product leaders: Are we becoming too reliant on the ‘what’ from the machine and losing our grip on the ‘why’ from the human?
Data tells us what users are doing, but it rarely explains their motivations, frustrations, or the context of their actions. That’s where product sense—that hard-won intuition built from countless hours of user interviews, market observation, and deep empathy—comes in. I believe our role is evolving. We’re no longer just data analysts; we’re becoming interpreters, using our intuition to guide the AI, question its outputs, and weave its quantitative insights into a compelling, human-centric product narrative. The AI finds the needle in the haystack; we have to know which haystack to search and what to do with the needle.
So, how are you all balancing AI-driven insights with your own product intuition in your day-to-day?