
In Kanban, two key flow metrics often come up in discussions: lead time and cycle time. Although they sound similar, they have distinct meanings and play unique roles in understanding how work moves through your system. This post breaks down the difference between lead time and cycle time, explains how to measure them accurately, and offers practical tips to improve both within a Kanban system.
Lead time refers to the total time it takes for a work item to move from the moment it is requested to the moment it is delivered. It captures the entire customer waiting period.
For example, imagine a customer asks for a new feature on Monday, and the feature goes live the following Monday. The lead time is seven days. It includes all the time the work waits in queues or backlog before development begins, plus the time it takes to actually complete it.
Lead time is a critical indicator of customer experience because it tells you how long users have to wait after placing a request.
Cycle time, on the other hand, focuses on the active work period. It measures how long it takes to complete a work item once you’ve actually started working on it.
Taking the same feature request example, if development started on Thursday and finished by Monday, the cycle time would be five days.
Cycle time tells you about the efficiency of your internal processes: how long tasks stay in progress, how smoothly work flows, and where bottlenecks might exist.
| Metric | What It Measures | When It Starts | When It Ends |
|---|---|---|---|
| Lead Time | Total time from request to delivery | When the request is made | When the request is delivered |
| Cycle Time | Active work time | When work starts | When work finishes |
Understanding both metrics is vital for any Kanban team. Lead time reflects customer satisfaction, while cycle time reflects team performance.
A team focusing only on one metric may miss critical improvement opportunities. For example, reducing cycle time without reducing lead time can result in faster internal processes, but customers may still experience long waits if work sits idle in the backlog.
Using both metrics helps teams balance internal improvements with external outcomes.
To fully master these concepts, pursuing a Kanban certification such as the Kanban System Design certification can provide in-depth knowledge on applying them to real-world Kanban systems.
For those preparing for KMP 1 certification, understanding these measurements is foundational and part of building a Kanban system that supports continuous improvement.
For a deeper dive into designing systems for flow improvement, enrolling in a Kanban System Design certification course offers hands-on techniques and guidance.
Improvement is not a one-off activity. Teams should track their lead time and cycle time over time to monitor trends.
Key questions to ask:
Regular tracking helps teams sustain improvements and avoid backsliding.
Besides lead time and cycle time, teams can benefit from other flow metrics such as throughput (how many tasks are completed in a set period) and flow efficiency (the percentage of time spent on active work versus waiting).
Teams that combine multiple metrics get a richer understanding of system performance. A well-structured Kanban certification program introduces these broader measurement approaches, helping teams create robust improvement plans.
Lead time and cycle time offer complementary views of Kanban system performance. By understanding, measuring, and improving these metrics, teams can enhance both their internal efficiency and the customer experience.
If you’re looking to deepen your mastery of Kanban, consider pursuing the Kanban System Design certification, which equips you with the knowledge to apply these practices effectively.
For further exploration, the Kanban University website offers detailed resources, frameworks, and case studies that expand on these topics.
By staying committed to continuous measurement and improvement, Kanban teams can achieve faster delivery, smoother workflows, and better alignment with customer expectations.
Also read - Applying Little’s Law in Kanban for Predictable Delivery
Also see - Service Level Expectations (SLEs) and Kanban Metrics Explained