As products become increasingly AI-driven, the way teams understand users needs to change too. Traditional product insight has focused on what customers do, what they say and where they encounter friction. But when the product itself is learning, generating and adapting, teams have access to entirely new signals — and new questions about what meaningful insight actually looks like. This session explores how product leaders can build insight-led strategies for AI-native products, combining qualitative customer understanding with behavioural data, experimentation and continuous feedback. Discover how to turn an evolving stream of signals into clearer product decisions and ensure that as products become more intelligent, the teams building them become more informed too. Attendee takeaways: - How “product insight” changes when the product itself is AI-driven - Which new signals AI-native product teams should be paying attention to - How to combine qualitative feedback, behavioural data and experimentation - Turning continuous customer signals into sharper strategic decisions - Building feedback loops that help AI-native products evolve alongside their users