DORA metrics, developed by the DevOps Research and Assessment Team at Google, provide a comprehensive framework for evaluating software delivery performance through four key measures: Lead Time for Changes, Deployment Frequency, Mean Time to Recover, and Change Failure Rate. These metrics enable teams to assess how often, quickly, consistently, and reliably they deliver software, serving as benchmarks for continuous improvement rather than competition. Feature flags, also known as feature toggles, are emphasized as a powerful tool to enhance DORA metrics by allowing safe experimentation and rapid feature deployment directly in production without the need for extensive staging environments. By utilizing feature flags, teams can improve lead times, deployment frequency, and mean time to recovery by quickly deactivating problematic features and conducting controlled releases. The use of feature flags also helps reduce the impact of failures before they affect all users, thereby improving the Change Failure Rate metric. Harness's Feature Management and Experimentation platform supports these practices by enabling teams to deploy safely, conduct feature experiments, and connect feature flags to contextual data for informed decision-making.