Episode 6 - Monte Carlo Q & A

Hosts discuss the use of daily throughput and feature level metrics for forecasting. They analyze Monte Carlo simulations and debate the disadvantages of certain methods. They explore the caveats of random sampling and aggregating zero-dominated data. They also analyze the impact of granularity on team performance and highlight the challenges of forecasting and prioritizing features in agile development.