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What Is a Monte Carlo Simulation?
Monte Carlo Simulation is a mathematical technique for generating random variables to model the risk or uncertainty of a system. Learn how Monte Carlo simulations help to answer two of the key questions of project management regarding throughput and lead time, and help teams commit to deadlines.
Course Videos
Introduction To Tracking Agile Kanban Performance
01:01
2How to Use Cycle Time Scatter Plots in Agile Kanban
03:32
3How to Use Lead Time Scatter Plots in Agile Kanban
03:45
4How to Use Cumulative Flow Diagrams to Track WIP in Agile Kanban
03:46
5What Is Little’s Law in Agile Kanban?
05:30
6How to Use Throughput Run Charts in Agile Kanban
02:54
7How to Use Block Resolution Time Charts in Agile Kanban
02:32
8How to Use Cumulative Flow Diagrams to Track Blockers in Agile Kanban
03:53
9How to Use Cycle Time Histograms in Agile Kanban
02:21
10How to Use Lead Time Histograms in Agile Kanban
02:34
11How to Use Aging Charts to Track WIP in Agile Kanban
03:11
12How to Use Throughput Histograms in Agile Kanban
05:35
13How to Calculate Flow Efficiency in Agile Kanban
03:44
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What Is a Monte Carlo Simulation?
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Next Video Collecting Data For Agile Kanban Performance Metrics
There are two primary ways to go about collecting data and creating performance metrics for Agile Kanban: Manually or electronically through the use of web-based Agile Kanban software. In this module we discuss both avenues.