Little's Law has been used in queuing theory for over half a century. It is an elegant explanation of the relationship between average throughput, Work in Progress (WIP), and cycle time. In a stable environment it gives us a good understanding of the performance of the system which can used for forecasting.
But where are the story points and estimation? Certainly, size must matter. But does it? In this workshop we explore Little's Law through theory and the experience of simulations. Each attendee will come away with a better understanding of Little's Law and the core assumptions necessary for it to be applicable and useful in forecasting. Through the simulation you will experience why estimation of individual items is often not necessary in an environment where Little's Law applies.
More details: https://confengine.com/agile-india-2020/proposal/12757
Conference Link: https://2020.agileindia.org