Monte Carlo Simulation Explained with Sonya Siderova

Monte Carlo Simulation Explained: Everything You Need to Know to Make Reliable Project Forecasts

About the Session
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 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.

About the Speaker
With more than a decade of experience in software development, product management and process optimization, Sonya Siderova knows how to mobilize resources and people to inspire cross-organizational change that results in improved flow efficiency and reduced delivery times. She is a strong advocate of data-driven decision making where leaders rely on numbers, not guesswork, to accurately predict their business outcomes.

Sonya is also the founder and CEO of Nave, a Kanban analytical suite that helps teams optimize their workflows and deliver value to their customers quickly and efficiently. Today, teams spanning across many industries have become more productive, self-managed and excited about their work, and Nave helped them get there.