A 4 hour end to end hands-on exercise covering estimating feature size using reference features, probabilistic forecasting story count and delivery duration, calculating cost of delay and using it to make prioritization decisions, and planning how many features are likely going to make a fixed date using historical data. Warning: some dice will be used, and if you have a laptop, bring it (there will be an occasional spreadsheet used)!
