Challenges in Monte Carlo Simulation Forecasting

When the exact number of items in a backlog is unknown, running a Monte Carlo simulation for forecasting becomes a challenge. Typically, backlogs do not have exact item counts, making it hard to predict project completion dates. The podcast discussed an example where the MVP had a known item count, but the additional features were uncertain, requiring a range for estimation. This uncertainty highlights the importance of realistic forecasting methods that accommodate variability in project scopes.