Definition
Product discovery is the ongoing process of figuring out what's worth building. Teresa Torres's framing splits it into two tracks: continuous customer interviews to understand opportunities, and rapid experiments to test which solutions work. The goal is to reduce the risk of building something nobody wants, which is the most expensive mistake a product team can make. Strong discovery looks like: weekly customer conversations, opportunity-solution trees, small-scale experiments, and quick iteration. Without it, teams build features based on the loudest opinions in the room. AI agents can help you prep interviews, summarize what you heard, build opportunity trees, and design experiments.
Related agent skills
Discovery Interview Prep
Plan customer interviews that uncover real problems instead of confirming your assumptions.
See how it worksProblem Statement Framework
Frame customer problems with empathy and evidence before jumping to solutions.
See how it worksUser Personas
Turn research data into 3 detailed user personas with jobs, pains, and gains.
See how it works