Chris Hefley
posted this on July 11, 2011 01:51 pm
LeanKit Kanban provides analytic capabilities to help you measure the performance of your process or value stream. This information is valuable in identifying waste or inefficiencies, identifying bottlenecks, and measuring improvements.
A board’s analytics can be found by clicking on the analytics button from the boards page:

The following graphs are provided to assist in providing the necessary information to ensure maximum performance of your process.
Cumulative Flow Diagrams show the relative amount of Work in Progress for each stage (or queue) over time. Variations in the gap or bands represent bottleneck situations and typically occur due to overrides in the work in process limits. The amount of work in process is also a predictor of the remaining cycle time. [more...]
Lead time demonstrates the amount of time that a work item takes to be processed through the system. This measurement can be calculated over a time period to demonstrate increases or declines in the amount of time required to process work items. Improvements should show a continuous decline in the amount of time to process work items. These lead times are also used and predictions or estimate of future work items. [more...]
The Card Distribution Diagrams show the current distribution of work items with in the process. These snapshots provide quick overview of the how work items are distributed within the system. Distributions can be viewed by Lane, Priority, Work Item Type, or by assigned user. [more...]
The Efficiency Diagram demonstrates how efficient work items are being processed within your systems or section of your system. This diagram allows you to understand long-term trends showing you how much of your work is being actively processed versus how much is waiting to be processed. [more...]
The Process Control Diagram demonstrates the variability of cycle times for work items are being processed within your systems or section of your system. This diagram allows you to monitor variability within the system and identify and take action upon outlier instances. [more...]