diff --git a/doc/user/analytics/dora_metrics.md b/doc/user/analytics/dora_metrics.md
index bc96975a5e035df70263c7d79ae9d3416dd42a83..f2accea18153d08c89450a07daf0207ba0098a71 100644
--- a/doc/user/analytics/dora_metrics.md
+++ b/doc/user/analytics/dora_metrics.md
@@ -12,16 +12,27 @@ title: DevOps Research and Assessment (DORA) metrics
 
 {{< /details >}}
 
-The [DevOps Research and Assessment (DORA)](https://cloud.google.com/blog/products/devops-sre/using-the-four-keys-to-measure-your-devops-performance)
-team has identified four metrics that measure DevOps performance.
-Using these metrics helps improve DevOps efficiency and communicate performance to business stakeholders, which can accelerate business results.
+[DevOps Research and Assessment (DORA)](https://cloud.google.com/blog/products/devops-sre/using-the-four-keys-to-measure-your-devops-performance) metrics
+deliver evidence-based insights about your DevOps performance.
+These four key measurements demonstrate how fast your team delivers changes
+and how well those changes perform in production.
+When tracked consistently, DORA metrics highlight improvement opportunities
+across your software delivery process.
 
-DORA includes four key metrics, divided into two core areas of DevOps:
+Use DORA metrics for strategic decision-making, to justify process improvement investments to stakeholders,
+or to compare your team's performance against industry benchmarks to identify competitive advantages.
 
-- [Deployment frequency](#deployment-frequency) and [Lead time for changes](#lead-time-for-changes) measure team *velocity*.
-- [Change failure rate](#change-failure-rate) and [Time to restore service](#time-to-restore-service) measure *stability*.
+The four DORA metrics measure two critical aspects of DevOps:
 
-For software leaders, tracking velocity alongside quality metrics ensures they're not sacrificing quality for speed.
+- **Velocity metrics** track how quickly your organization delivers software:
+  - [Deployment frequency](#deployment-frequency): How often code is deployed to production
+  - [Lead time for changes](#lead-time-for-changes): How long it takes code to reach production
+
+- **Stability metrics** measure your software's reliability:
+  - [Change failure rate](#change-failure-rate): How often deployments cause production failures
+  - [Time to restore service](#time-to-restore-service): How quickly service recovers after failures
+
+The dual focus on velocity and stability metrics helps leaders find the optimal balance between speed and quality in their delivery workflows.
 
 <i class="fa fa-youtube-play youtube" aria-hidden="true"></i>
 For a video explanation, see [DORA metrics: User analytics](https://www.youtube.com/watch?v=jYQSH4EY6_U) and [GitLab speed run: DORA metrics](https://www.youtube.com/watch?v=1BrcMV6rCDw).