As an alternative approach to forecasting, getting to grips with Monte Carlo simulations can be challenging, especially if you’ve been stuck estimating your work using story points (or hours) for quite some time. 

And there are so many questions that come with the Monte Carlo method. Do we need to slice our work items into even sizes? Does the simulation consider our current work in progress? What data is needed for it to produce reliable outcomes?

In this session, we’ll reveal the full potential of one of the most reliable methods to project forecasting in Jira.

Join the session lead by Sonya Siderova, a Kanban Champion. Sonya holds a track record of improving process efficiency, team productivity and customer value. She is a founder and CEO at Nave Software.

This session will be particularly valuable for delivery managers, project leads, agile coaches and anyone who want to make reliable, data-driven forecasts without relying on guesswork.

The presentation will be in English.