Join Professional Kanban Trainer Prateek Singh for this online event! Prateek is head of Learning and Development at ProKanban.org. He creates and curates a lot of the materials taught at ProKanban.org. Come learn from the source!

Course Description

“When will it be done?” “How many items will I get in the next release?” “When will all of the items in the backlog be completed?”

This hands-on workshop will provide you with the tools you need to answer those questions predictably. In this course, attendees will learn what metrics are necessary for accurate forecasting, how to visualize those metrics in appropriate analytics, how to use those analytics to make reliable forecasts and understand risk, and, finally, how to make meaningful interventions for overall process improvement.

AMP is the only Agile Metrics class in the industry that will teach you not only how to identify when work will be done, but also how to continuously forecast work that is in flight. Predict delivery, deliver on time.

Learning Outcomes

• Define metrics required for predictability
• Create accurate forecasts for single items (user stories, tasks, etc.)
• Create accurate forecasts for multiple items (features, epics, etc.) 
• Know how to use flow metrics and analytics to achieve a stable process

Topics

• Flow Metrics: WIP, Cycle Time and Throughput Understanding Little's Law
• Flow Analytics: Cumulative Flow Diagrams (CFDs), Scatterplots and Histograms 
• Forecasting using Monte Carlo Simulation
• Quantifying Risk and Risk Management 
• How to Get Started: What data to collect, how to mine your data, and how much data you need to begin

Who Should Attend?

The Applying Metrics for Predictability course is for anyone who has been asked “When Will It Be Done?” or had to estimate when a User Story, Epic, Feature, or Project will be delivered. This includes executives, managers, product owners, or team members who want better transparency into the health and performance of their process.

Assessment/Certification

All participants completing this course will receive an attempt at the ProKanban.org Professional Applied Metrics (PAM) assessment (https://prokanban.org/professional-applied-metrics/). The industry-recognized PAM certification requires a minimum passing score of 85% on this rigorous assessment.