Exploring Monte Carlo Simulations for Feature Forecasting

This chapter explores the application of Monte Carlo simulations in managing work in progress at the feature level. It highlights the process of sampling throughput to predict feature completion dates and references earlier episodes for deeper insights into forecasting methods.