A Minimum Viable Product (MVP) is the simplest version of a new product that can be released to real users to gather validated learning about customers with the least amount of effort. Popularized by Eric Ries in The Lean Startup, the MVP concept is about maximizing learning per unit of effort — not releasing something half-baked.
The challenge with MVPs is deciding what's 'minimum' and what's 'viable.' Too little, and users reject it. Too much, and you've overbuilt without learning. Customer feedback is the best guide: - Pre-MVP: Analyze feature requests and pain points to understand what's truly essential - During MVP: Collect structured feedback to learn what users need next - Post-MVP: Use voting and prioritization data to decide what to build beyond the MVP
FeatureSay supports the entire MVP lifecycle — from pre-launch feedback analysis (to scope the MVP) through post-launch feedback management (to inform what comes next). The same system that informs MVP scope scales with the product as it grows from MVP to mature platform.