Product discovery often struggles with fragmented signals - user interviews, surveys, support tickets, community feedback, and usage data rarely come together in a way that drives confident decisions. At Skillshare, Bianca and her team built an AI-driven workflow that centralizes qualitative inputs and pairs them with custom GPTs trained on product usage data. The result is a single insights layer that bridges what users say with what they do, turning scattered feedback into actionable strategy. In this session, Bianca shares both the practical playbook and a broader perspective on how AI can transform discovery into a continuous, scalable practice - enabling faster learning cycles, sharper bets, and products that better meet real user needs.