We’re all tired of the AI hype, but let’s talk about a real, tactical shift that’s happening right now: the evolution of product discovery. For years, discovery meant manually sifting through interview transcripts, support tickets, and survey data to find the golden nuggets of user insight. It was a tedious, time-consuming process that often left us drowning in data.
Now, AI is emerging as a powerful partner in this process. Instead of just automating tasks, it’s becoming a synthesizer. Imagine feeding hours of user call recordings into a model and getting back a concise summary of the top three pain points and five most-requested features, complete with verbatim quotes. This fundamentally changes our role. We’re moving from data crunchers to insight curators. Our core job becomes less about the ‘what’ (what did the user say?) and more about the ‘so what?’ (what does this insight mean for our strategy?).
This acceleration allows for a more continuous discovery motion, keeping the product direction tightly aligned with the user’s voice. At Leera, we’re deeply invested in how to seamlessly connect this kind of qualitative data to the product development lifecycle (you can see our approach at https://leera.io). It frees up PMs to do what we do best: talk to users, build relationships with stakeholders, and shape a compelling vision.
How are you using AI in your discovery process today, and what’s the one critical task you would never hand over to an AI?