Applying Metrics for Predictability

“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?” Those are some of the first questions that your customers will ask you once you start work for them.

This hands-on workshop will provide you with the tools you need to answer those questions predictably. In this tutorial, 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.

Course Details

Make meaningful data driven decisions, improve your ability to deliver value, and be more effective. After taking the course, you will have an opportunity to validate your understanding of Metrics for Predictability with our online assessment that evaluates your knowledge and provides guidance on areas to improve. Upon passing, you will receive the “Professional Applied Metrics” (PAM) certification and badge through Credly.

Outcomes

Gain the skills to use key metrics for predictability, forecast single and multiple items accurately, communicate delivery risk effectively, and achieve a stable process for reliable outcomes.

Topics

This course provides a deep dive into flow metrics like WIP, Cycle Time, and Throughput, explores flow analytics with tools like CFDs, scatterplots, and Monte Carlo simulations, teaches how to quantify and manage risk, and offers practical guidance on collecting and analyzing the data needed to get started.

Audience

This course is ideal for anyone tasked with providing estimates for User Stories, Epics, Features, Projects, or Releases, as well as executives, managers, and team members who want to enhance predictability and efficiency in their practices.

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