Our data set is drawn from anonymized observation of actual workflows, including historical actual time-to-complete, flow efficiency, blockers, throughput by person, and other factors. All of these contribute to how long a body of work may take to finish. That's where the power of Monte Carlo comes in. By running many scenarios with the same starting conditions, we explore the potential impacts from every variable. Learn more.