

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