Drunk Agile cover image

Episode 14 - Assumptions Of Little's Law

Drunk Agile

00:00

Unpacking Little's Law Limitations

This chapter explores the inherent limitations of Little's Law in forecasting and planning, highlighting the flaw of averages. It emphasizes that Little's Law is mainly a tool for understanding historical data rather than making precise predictions, particularly where real-world variability exists. The discussion also addresses critical assumptions necessary for its application, especially in knowledge work environments, and the challenges arising from fluctuating arrival and departure rates.

Transcript
Play full episode

The AI-powered Podcast Player

Save insights by tapping your headphones, chat with episodes, discover the best highlights - and more!
App store bannerPlay store banner
Get the app