DORA metrics, which include lead time for changes, deployment frequency, change failure rate, and time to restore service, are crucial indicators of software engineering efficiency and have gained prominence through the "Accelerate" book and Google's State of DevOps reports. While these metrics are intended to measure how effectively engineering teams deliver software, they often become abstract KPIs that don't reflect actual work practices unless closely tied to a team's Continuous Integration (CI) pipeline. The article argues that many delays and inefficiencies linked to DORA metrics are rooted in CI bottlenecks, such as slow pipelines, flaky tests, and manual interventions, which hinder delivery performance. To make DORA metrics actionable, the focus should shift from merely tracking them to enhancing visibility into the CI processes that affect them, such as tracking retries, identifying flaky jobs, and understanding queue times. By doing so, teams can transform DORA metrics into a practical tool for improving software delivery rather than just a theoretical measurement.