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Kanban WIP Calculator

Suggested WIP limits per column based on team size, cycle time, and focus factor — uses Little's Law.

Updated June 2026
Suggested total WIP
4
Per-column WIP
2
across 3 active columns
Throughput
0.9/day
Weekly throughput
4.4
How this is calculated
Little’s Law: WIP = Throughput × Cycle Time. With 5 people at 70% focus, we estimate ~0.9 items finished per day. Multiplied by your 4-day cycle, that gives a total in-flight cap of 4, or roughly 2 per active column (To Do, In Progress, Review).
Rule of thumb: WIP ≤ team size × 1.5 prevents multitasking overload.
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What it does

Calculate appropriate work-in-progress (WIP) limits for your Kanban board columns based on team size, average cycle time, and how focused you want the team to be on finishing-vs-starting. WIP limits are the number you cap each column at — no more than X tickets in “In Progress” at once. Without WIP limits, everyone starts everything and nothing gets finished. With them, the team is forced to swarm on completion before pulling new work.

The principle behind WIP limits is Little’s Law:

L = λW

Where L is the average number of items in the system (your WIP), λ is the arrival/throughput rate, and W is the average time an item spends in the system (cycle time). Solving for cycle time: W = L/λ. So if you have 20 things in progress and finish 4 per week, average cycle time is 5 weeks. Cut WIP to 8 and cycle time drops to 2 weeks (with the same throughput) — assuming you stop multitasking and focus.

The classic Kanban WIP formula: WIP per “In Progress” column = number of team members × focus factor (0.5-1.0). Focus factor of 1.0 = each person works on exactly one thing. 0.5 = each person can have up to 2 things in progress (rare in disciplined teams). For pair programming or swarm-style work, focus can drop to 0.25- 0.4 because multiple people work on each item. The tool asks for these inputs and returns suggested caps for each column.

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How to use it

  1. Enter team size — number of people who do the work, not stakeholders or PMs.
  2. Set cycle time — average days from &ldquo;Start work&rdquo; to &ldquo;Done&rdquo;. If you don't have data, estimate; ideally measure for 4-8 weeks then refine.
  3. Pick focus level: high (each person works on 1 thing), medium (each person can have 2), or low (lots of context-switching). High focus is what you should aim for; medium-low is what you usually have.
  4. Read the suggested WIP limits for each column (To Do, In Progress, Review, Done).
  5. Apply the limits to your Kanban tool (Jira, Trello, Linear, Notion). Track for 2-4 weeks; adjust based on actual flow.

When to use this tool

  • Setting up a new Kanban board and need defensible starting WIP limits.
  • Diagnosing a team that&rsquo;s shipping slowly — too-high WIP is one of the most common causes.
  • Convincing skeptical stakeholders that WIP limits matter — Little&rsquo;s Law is empirical, not opinion.
  • Planning a sprint capacity that respects realistic flow rates.

When not to use it

  • Teams using pure Scrum (sprint-based) — Scrum has its own capacity-planning approach (story points, velocity) that doesn&rsquo;t map cleanly to Kanban WIP.
  • Highly creative or research work where outputs are deliberately unpredictable — WIP limits assume work flows; pure research doesn&rsquo;t.
  • Solo work — WIP limits are about coordinating multi-person flow.
  • Teams that aren&rsquo;t willing to enforce them — calculated limits are useless if everyone keeps pulling new work past the cap.

Common use cases

  • Verifying a number or output before passing it on
  • Quick calculation during a typical workday
  • Pre-decision sanity-check on inputs and outputs
  • Educational use &mdash; demonstrating the underlying concept

Frequently asked questions

What's a typical WIP-per-person ratio?
Best: 1.0 (each person works on exactly one thing at a time). Common: 1.5-2.0 (one main item plus one or two side things). Bad: 3+ (constant context-switching, slow throughput). The research is consistent — context-switching costs 15-40% of total productivity. If your team has 5 people and 15 things in progress, that's the bottleneck.
What's Little's Law?
L = λW. The number of items in a queue equals the arrival rate times the average wait time. In Kanban: WIP = throughput × cycle time. Reducing WIP (with stable throughput) reduces cycle time linearly. The math is from queueing theory (1961, John Little) and applies to any flow system: factories, hospitals, software teams.
How do I measure cycle time?
Track timestamps when each item enters &ldquo;In Progress&rdquo; and when it reaches &ldquo;Done&rdquo;. Cycle time = Done timestamp - Start timestamp. Average across recent items (8-12 is enough for stable estimate). Most Kanban tools (Jira, Linear, Trello via Power-Ups) have built-in cycle-time reports.
Should the WIP limits be different for different columns?
Usually yes. To Do can be larger (it's a backlog, not a bottleneck). In Progress should be tightest (the actual work). Review/QA columns benefit from explicit limits to prevent QA backlog. Done is typically unlimited (it's just historical). The tool calculates per-column based on stage type.
What happens when I hit the limit?
You can't pull a new item into that column. This forces the team to focus: either help finish what's already there, or address the upstream blocker. The discomfort is the point — if the limit feels too restrictive, that's information about the actual constraint.
Is Kanban better than Scrum?
Different. Kanban is good for steady-state flow with continuous arrival of work (support, ops, content production). Scrum is good for project work with planned chunks of scope (feature development with clear MVPs). Many teams use a hybrid (Scrumban) — sprint planning + Kanban WIP enforcement.

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