How can we implement 'Service Level Expectations' (SLE) for our Kanban board?
Our stakeholders are frustrated because they don't know when their tickets will be done. I want to move away from "estimations" and toward "Service Level Expectations" based on our historical data. How do I calculate an SLE that is 85% accurate, and how do I communicate this to the business?
2025-11-14 in Project Management by Jessica Thompson
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All answers to this question.
To calculate an SLE, you need a Scatterplot of your past Cycle Times. Look at your data from the last 3-6 months. Find the point where 85% of your tickets were completed. For example, if 85% of your tasks were done in 10 days or less, your SLE is "10 days." When communicating this, don't give a single date. Say, "There is an 85% probability that this item will be finished within 10 days of starting." This is much more honest than a traditional estimate because it accounts for the natural variability and "outliers" in your historical process.
Answered 2025-11-16 by Mary Jones
That probability approach is very scientific, but how do you handle the 15% of tickets that go over the SLE? Do you have a specific "aging" alert on your board to flag tickets that have exceeded the 85th percentile, so the team can swarm them before they become 99th percentile outliers?
Answered 2025-11-18 by Steven Taylor
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Steven, we absolutely do. Our Kanban tool turns the card red once it hits day 9 of our 10-day SLE. In our daily stand-up, we prioritize "red" cards over everything else. It’s reduced our "tail" significantly and made our overall delivery much more predictable for the stakeholders.
Commented 2025-11-20 by Jessica Thompson
Using Monte Carlo simulations based on your Throughput data is another level up. It can tell you the probability of finishing a whole project (e.g., 50 items) by a certain date, which is great for roadmapping.
Answered 2025-11-22 by Christopher Lee
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I love Monte Carlo! It takes the guesswork out of planning. I used it to show my boss why a December launch was only 20% likely, which allowed us to move the date to January with zero drama.
Commented 2025-11-24 by Mary Jones
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