This feature creates a process-definition step heat map from a specified process definition and a number of process instances. 

On the Process Definition page, select a definition from the table, then click View > Heat Map. 

Enter the sample size for the instance, then click the Generate button. 

The data is processed, and the heat map is generated for display on the new page.  This screen is being used to monitor performance. If a specific node were glowing bright red, a manager would immediately know that "Task X" is causing a major backup in the business operations and needs attention. Currently, the process looks relatively healthy as most indicators are in the blue/green spectrum.

Based on the provided screenshot, you are viewing a Heatmap View of a workflow process. This interface is designed to help administrators and process owners visualize how a specific process definition (named TestDebugProcess-01) is performing in real-time or based on historical data.

The Heatmap Visualization:

The most striking feature is the glowing "aura" around specific steps (nodes) and the colored connection lines. This is a diagnostic tool used to identify bottlenecks.

• Color Legend: The legend at the top left indicates that colors correspond to task completion times.
• Blue/Green: Indicates "No Issues" or "Low" delay (completion time < 50% or >= 50% of the expected duration).
• Yellow/Orange: "Medium" to "High" delay.
• Red: "Very High" delay (> 100%).
• Active Nodes: Steps such as TDP-01-Task-01, Task-02, and Synchronize have blue/green glows, indicating they are either currently active or were recently processed within acceptable time limits.

Metadata and Context:

The header provides technical details about the data being visualized:

• Sample Size: 100 (The heatmap is calculated based on the last 100 instances of this process).
• Dates: The process was created in November 2025 and was last updated today, April 21, 2026.
• Environment: The URL suggests this is a QA (Quality Assurance) environment, likely used for testing and debugging before pushing to production.