If you work in an Agile environment and want to learn how to use data and estimates in practical ways to make achievable plans in multiple-team situations, then this workshop is for you.
This one-day workshop teaches practical data probabilistic forecasting techniques (sounds complex; it isn’t) applied to any flavor of Agile software development. The methods practiced will outperform current popular methods used in Agile that fail due to an inability to cope with highly uncertain work items and complex system factors (dependencies and queues that cause low process efficiency).
All techniques are explained by solving real-world problems using exercises based on real projects and often from the attendees themselves. You will learn how to use concrete tools and knowledge that allow software and IT projects to be rapidly forecast using historical data when available. Also, how to use range estimates when there is no relevant historical data.
The Agenda at a glance:
Forecasting using data will benefit people in the following roles:
More generally, it is perfect for:
Problems and examples discussed and solved during the workshop include –
No specific statistical or mathematical knowledge is needed; this session introduces all of the skills necessary to perform forecasts without complex statistics or mathematics. Bring a laptop (that has Excel installed) to follow along on your data, or watch your colleagues or co-attendees.
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