Product teams often face challenges in determining the effectiveness of new features due to disconnected tools and workflows, resulting in delayed and fragmented insights. This breakdown of the feature feedback loop can be resolved by integrating feedback mechanisms directly into the feature delivery layer, allowing for real-time measurement and improvement. A healthy feedback loop involves rolling out features to a targeted group, tracking user adoption and behavior, and adjusting strategies based on immediate data insights. For example, targeting a subset of users with a new feature and experimenting with different implementations can quickly reveal the most effective approach. LaunchDarkly addresses these challenges by unifying feature flags, analytics, experimentation, and risk controls, enabling product managers to understand and act on feature impact without relying on separate analytics teams. This integration allows for gradual rollouts, instant kill switches, and automated safeguards, leading to faster, evidence-based decision-making and a robust product culture.