Actionable Agile Metrics for Predictability

Actionable Agile Metrics for Predictability applies queuing theory to agile software delivery in a way that practitioners can actually use. Vacanti walks through Little’s Law, cycle time distributions, throughput, and CFDs, then shows how to derive probabilistic forecasts (“there’s an 85% chance this will be done in 10 days”) without estimation rituals.

The book’s core argument: stop estimating, start measuring. Historical flow data from your own system is a better predictor than expert guesses, and the statistical methods are simpler than most teams expect.

Resources

• Daniel Vacanti, “Actionable Agile Metrics for Predictability” (ActionableAgile, 2015)
• Flow — the theoretical foundation