The Feature Prioritization Problem
Every founder thinks their core idea needs Features A, B, and C. But what if your market only wants A and C? What if B is what actually drives purchase intent?
Feature prioritization based on market research prevents you from building the wrong MVP. You ship features that matter, not features you love.
Market-Driven Feature Testing
Step 1: List your candidate features (usually 5-8 for an MVP).
Step 2: Create feature combinations and test with your target personas: 'Would you use this product with features A and B?' vs 'With A, B, and C?'
Step 3: Identify the minimal feature set that drives purchase intent and solves the core problem.
Reading Feature Test Results
Look for the biggest delta: Which features move the needle on purchase intent? Which ones don't matter?
Check by segment: Does feature importance vary by buyer persona? Premium segment might prioritize differently than budget segment.
Identify the 'must-have tier': Features that 80%+ of personas want. These belong in MVP.
Building Your Roadmap from Data
MVP: Must-have tier features. You need all of them to solve the core problem.
Phase 2: High-impact features that matter to specific segments or use cases.
Phase 3+: Nice-to-have features that differentiate you but aren't core to solve the problem.
Use this framework to communicate roadmap decisions to your team and customers: 'Here's what the market told us to build first.'