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Little's Law's two forms can lead to two very different answers even when using the same dataset. How can one law lead to two answers?

A card's position in a true workflow reflects how close or far away it is from realizing its potential value. Does yours?

Do you hear people throwing around words like probabilistic and deterministic forecasting, and you aren't sure exactly what they mean?

Using Little's Law requires more than plugging numbers into an equation. It takes an understanding of the underlying assumptions as well.

Did you know that a challenge from a student triggered John Little to create Little's Law? Did you know it didn't start with him? Read more!

Little's Law is an equation that relates three basic metrics of flow. As in equal. Not approximate. But it isn't that simple in reality.

Flow metrics are meaningless unless we know what data we need to capture to calculate them - like start and finish dates.

As much as Flow is talked about in Lean-Agile circles, there really aren't many reliable definitions for what Flow actually is.

This post is for those who really like to geek out on the inner workings of Monte Carlo Simulations!

Using ActionableAgile™ and Scrum?Learn about the new class from ProKanban.org called "Applying Flow Metrics for Scrum."