Product discovery is the upfront process of understanding customer problems, identifying opportunities, and validating potential solutions before committing engineering resources. It answers two questions: 'What should we build?' and 'Will anyone use it?'
Continuous discovery (popularized by Teresa Torres) extends this into an ongoing practice rather than a phase. Teams constantly engage with customers, test assumptions, and refine their understanding — rather than doing a big discovery sprint once per quarter.
Key inputs for product discovery include: - Customer interviews and user research - Feedback analysis (themes, trends, sentiment) - Usage data and product analytics - Competitive analysis - Market research
FeatureSay supports continuous discovery by centralizing feedback from all channels, making it searchable and analyzable. Teams can quickly pull up all feedback related to a specific problem area, see the vote counts and sentiment behind it, and make informed discovery decisions without days of manual data gathering.