#144: How Modern Agile Teams Predict the Unpredictable with Lance Dacy

Real Agile forecasting runs on math, not magic. Brian and Lance dive into Monte Carlo methods, DORA metrics, and how AI is shifting the future of project management. All with a human-first approach that builds better teams, not bigger spreadsheets. Overview In this episode of the Agile Mentors Podcast, Brian Milner and Lance Dacy unpack why Agile teams need to rethink how they forecast work—and why math, not magic, is the real secret. From the roots of Taylorism to today's Monte Carlo simulations, they explore how to navigate uncertainty with data-driven tools like DORA metrics, flow metrics, and probability theory, while keeping the heart of Agile leadership focused on trust, transparency, and better decision-making. References and resources mentioned in the show: Lance Dacy Free Chapters of Agile Estimating and Planning by Mike Cohn Join the Agile Mentors Community Mountain Goat Software Certified Scrum and Agile Training Schedule Subscribe to the Agile Mentors Podcast Want to get involved? This show is designed for you, and we’d love your input. Enjoyed what you heard today? Please leave a rating and a review. It really helps, and we read every single one. Got an Agile subject you’d like us to discuss or a question that needs an answer? Share your thoughts with us at [email protected] This episode’s presenters are: Brian Milner is SVP of coaching and training at Mountain Goat Software. He's passionate about making a difference in people's day-to-day work, influenced by his own experience of transitioning to Scrum and seeing improvements in work/life balance, honesty, respect, and the quality of work. Lance Dacy is a Certified Scrum Trainer®, Certified Scrum Professional®, Certified ScrumMaster®, and Certified Scrum Product Owner®. Lance brings a great personality and servant's heart to his workshops. He loves seeing people walk away with tangible and practical things they can do with their teams straight away.