WIP Limit Calculator
Enter your team's throughput and target cycle time to calculate the optimal WIP limit for any Kanban workflow stage using Little's Law.
Use the WIP Limit Calculator
Inputs
Little's Law: WIP = Throughput × Cycle Time
If weekly: divide by 5. Example: 10/week = 2/day.
Max days an item should spend in this stage.
Quick Presets
Enter throughput and cycle time, then click Calculate.
Recommended WIP Limit
items in-flight at any time
Formula Breakdown
What to do next
- Set your Kanban column cap to the floor value for tighter flow control.
- Use the ceiling value if the team is still maturing and hard limits would cause frequent blocking.
- Re-run this calculator per stage — In Progress, Review, and QA may each have different throughputs.
- If actual in-flight items consistently exceed the limit, investigate bottlenecks upstream.
Sensitivity: cycle time vs. WIP limit
| Cycle Time (days) | WIP Limit (floor) |
|---|
Summary
The WIP Limit Calculator applies Little's Law (WIP = Throughput x Cycle Time) to recommend a work-in-progress cap for any Kanban workflow stage. Enter how many items your team completes per day and the longest cycle time you can tolerate, and the tool shows the maximum number of items that should be in-flight at any time. Keeping work below this limit prevents queue buildup, reduces context-switching, and keeps cycle times predictable.
How it works
- Enter your team's average throughput — how many items (tasks, tickets, features) are completed per day.
- Enter the target cycle time — the maximum number of days an item should spend from start to done.
- The calculator multiplies the two values using Little's Law: WIP = Throughput x Cycle Time.
- Review the recommended WIP limit and set it as the column cap on your Kanban board.
- Adjust throughput or cycle time targets and see how the WIP limit changes in real time.
Use cases
- Set the WIP cap for a development column so engineers are never overloaded.
- Determine how many items a QA stage can hold before a queue builds up.
- Plan Kanban board limits when onboarding a new team with no historical data.
- Model the effect of hiring: see how WIP limit grows when throughput increases.
- Identify bottleneck stages by comparing actual in-flight counts to the recommended limit.
- Explain WIP limits to stakeholders with a concrete, formula-backed number.