
Episode 43 - Monte Carlo With Unkonwn Backlog Size
 Mar 28, 2022 
 Agile expert Nisha, product management specialist Dan, and software development guru Prateek explore using Monte Carlo simulation to forecast completion times for products when backlog size is unknown. They discuss utilizing the simulation for project estimation with uncertain work item counts, managing uncertainty in backlog items, and forecasting future work in Agile projects through historical data analysis and simulations. 
 Chapters 
 Transcript 
 Episode notes 
 1  2  3  4  5 
 Introduction 
 00:00 • 2min 
 Exploring Monte Carlo Simulation with Unknown Backlog Size 
 02:12 • 2min 
 Utilizing Monte Carlo Simulation for Project Estimation with Uncertain Work Item Counts 
 03:43 • 3min 
 Exploring Nested Monte Carlo Simulations and Managing Uncertainty in Backlog Items 
 06:54 • 2min 
 Historical Data Forecasting in Agile Projects 
 09:09 • 7min 
