Product metrics are quantitative measures that track how a product is performing — covering adoption, engagement, retention, revenue, and quality. Common product metrics include DAU/MAU, feature adoption rate, churn rate, NPS, time-to-value, and customer effort score.
Product metrics tell you what's happening. Customer feedback tells you why. The two are complementary: - A drop in feature adoption → feedback might reveal a confusing UI - An increase in churn → sentiment analysis might show growing frustration with performance - High NPS but low expansion revenue → feature requests might reveal a missing enterprise tier
FeatureSay bridges the gap between quantitative metrics and qualitative feedback. Its AI connects feedback themes to specific product areas, letting teams trace metric changes back to root causes in customer input. This closed loop — measure, listen, understand, act — is the foundation of modern product-led organizations.