Engineering and product leaders need a reliable way to assess how quickly code moves to production, and how consistently it stays there. But DORA metrics require unified signals from repositories, pipelines, and incident systems, and most teams can’t assemble them without manual effort or missing data.

DORA depends on signals from Git, CI/CD, and incident systems — but those inputs are rarely consistent. Teams define deployments differently, pipeline events lack structure, and failure data isn’t reliably captured. The result: unreliable DORA calculations and limited visibility into true delivery performance.