From Signals to Systems: Building a Discovery Engine

Most product teams collect insights. Few turn them into leverage.In this episode, our AI hosts explore Sam Robertstad’s latest essay, “From Signals to Systems,” which reframes discovery as an operating system instead of a research phase. They break down the four layers of a working Discovery Engine: signal capture, signal processing, synthesis rituals, and action integration.You’ll learn how high-performing teams shorten decision cycles, connect insights to roadmap bets, and build systems that keep learning active.This episode covers:How to make discovery continuous, not episodicWhat goes wrong when discovery relies on heroicsWhy structure matters more than volumeA 90-day plan for implementation and scaleSmart insights. Real talk. AI-powered clarity.