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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.