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Without an understanding of what makes Little's Law work, teams are making decisions every day that are in direct contravention of facts.

Prateek Singh and I recorded an episode of our Drunk Agile podcast to go over some Little's Law myths in more detail

Despite what you've heard, Little's Law is not about - and was never designed for - making deterministic forecasts about the future.

Allowing items to age arbitrarily is the single greatest factor as to why you are not efficient, effective, or predictable at delivering...

The Throughput form of Little's Law is based on five basic assumptions. Break any of those, and the equation doesn't work. Simple as that.

Geologists fall prey to the same syndrome that afflicts most Agile methodologies. A bias toward finish while ignoring the start.

Why is the standard deviation so popular? Not because it is correct. Because that's what students are taught. It's that simple.

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?