---
title: "Analyze correlated metrics | Grafana Labs"
description: "Examine metrics associated with insights to identify performance degradation and resource exhaustion patterns."
---

> For a curated documentation index, see [llms.txt](/llms.txt). For the complete documentation index, see [llms-full.txt](/llms-full.txt).

# Analyze correlated metrics

In this milestone, you examine metrics associated with insights to identify performance issues.

RCA Workbench automatically displays metrics for insights that have fired. By analyzing these metric visualizations, you can understand the magnitude of performance degradation, resource exhaustion, or unusual patterns that contributed to the incident.

1. In RCA Workbench Timeline view, click an insight in the left panel to view its associated metrics. Examine the metric graph that appears in the timeline for spikes, drops, or unusual patterns.
2. Look for sudden spikes, sustained plateaus above normal, or drops to zero. A gradual increase over hours may indicate a resource leak, while a sharp spike suggests a sudden load change or failure.
3. Click **Open chart in metrics** to see the metric in a dedicated dashboard. Compare metric values during the incident to baseline values before the incident.
4. Click the **KPI** icon next to an entity to navigate to associated dashboards for comprehensive metric views. Note any metrics that show significant deviation from normal behavior.
5. For example, you might see CPU usage spike to 95% when the baseline is typically 30%.

You analyzed correlated metrics to identify performance anomalies.

In the next milestone, you’ll review related logs to identify error messages and patterns.