The Hidden Problem with Dora Metrics: What Businesses Really Care About

📊Dora metrics are a retrospective view of engineering efficiency and stability, measured after code release.

💼Businesses care about features being delivered on time, more features, and a great customer experience.

🗂️Leading indicators like pull request size, review time, and culture impact Dora metrics and engineering outcomes.

🔄Developers care about merging code fast and fixing problems, not Dora metrics.

✨To improve Dora metrics and business outcomes, focus on planning accuracy and resource allocation.

Do Dora metrics always result in better business outcomes?

—No, Dora metrics are a retrospective view of engineering efficiency and stability, not directly tied to business outcomes.

What do businesses actually care about?

—Businesses care about features being delivered on time, more features, and a great customer experience.

What do developers care about?

—Developers care about merging code fast and fixing problems, not Dora metrics.

What are leading indicators that impact Dora metrics and engineering outcomes?

—Leading indicators include pull request size, review time, and culture.

How can Dora metrics be improved for better business outcomes?

—To improve Dora metrics and business outcomes, focus on planning accuracy and resource allocation.

00:06Dora metrics are a retrospective view of engineering efficiency and stability, not directly tied to business outcomes.

03:40Businesses care about features being delivered on time, more features, and a great customer experience.

06:18Leading indicators like pull request size, review time, and culture impact Dora metrics and engineering outcomes.

08:00Developers care about merging code fast and fixing problems, not Dora metrics.

09:00To improve Dora metrics and business outcomes, focus on planning accuracy and resource allocation.