Shipping a feature is just the beginning, as connecting it to actual outcomes and understanding how users engage with it requires more than just delivering the feature. The data needed to make informed decisions is often fragmented across tools or delayed by pipeline dependencies, leading to blind spots that can impact revenue. LaunchDarkly Product Analytics aims to bridge this gap by providing a warehouse-native analytics platform that connects directly to Snowflake, BigQuery, or Databricks, eliminating duplication and ensuring accuracy. This platform empowers product teams with self-serve analytics, comprehensive behavioral analysis, and built-in security and governance, enabling them to make data-driven decisions and drive growth. With Product Analytics, teams can correlate releases with real user behavior, visualize trends, map user flows, track cohorts over time, and close the loop between feature rollouts and actual user behavior.