Understanding process metrics

Process Metrics is the analytical tool used to measure and evaluate the efficiency and effectiveness of various processes within an organization. They provide insights into process performance and help identify areas for improvement, ensuring that tasks are completed in a timely and efficient manner.

Open any record and click the Analytics tab to view the Process Metrics information, which shows the number of days a task remains in each state (for example, Submitted, Backlog, Active, and Resolved).

The key metrics displayed for each record include:

  • Average Lead Time: The average time taken from the moment a new task or feature is requested until it is delivered to the customer.

    This metric indicates the average time taken for all records within a particular development cycle (such as a Sprint) from their creation or submission to their completion or closure. It measures the total duration from when a record is initiated (for example, submitted, logged, or added to the backlog) to when it is finalized (marked as complete). This encompasses the entire workflow, including any periods where the record was idle before work commenced.

  • Average Cycle Time: The average time taken for tasks to be completed from the start of in-progress work to their resolution.

    This metric reflects the average time taken for all records within a specific development cycle (such as a Sprint) to move from their starting point to completion. It measures the duration from when work actively begins on a record (for example, when it transitions to an "In Progress" state) to when it is finished (that is, moves to "Closed"). This focuses solely on the time spent actively working on the record.

  • Sprint Throughput: The number of tasks completed within a sprint.

    This metric represents the average number of records completed per day during a specific development cycle (such as a Sprint). It is calculated by summing the daily counts of closed items throughout the duration of the development cycle.

Process metrics are crucial for tracking the performance of different processes, identifying bottlenecks, and driving continuous improvement. By analyzing metrics such as lead time and cycle time, you can optimize the workflows, leading to more efficient processes and enhanced customer satisfaction. These metrics provide a clear understanding of how well processes are functioning and where adjustments are needed to improve overall productivity and effectiveness.