Jan 21
1:30 pm
-
9:30 pm
TIMEZONE
January
21
Virtual
Applying Metrics for Predictability
Guaranteed To Run:
No
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
Understanding of what metrics are required for predictability
Ability to make accurate forecasting for single items
Ability to make accurate forecasts for multiple items
Ability to communicate probability and delivery risk
Understanding of how to achieve a stable process and why it matters
Topics
Flow Metrics: a deep dive into WIP, Cycle Time, and Throughput
Flow Analytics: Cumulative Flow Diagrams (CFDs), Scatterplots, and Monte Carlo
Quantifying Risk and Risk Management: how to quantify risk and develop an overall risk profile
How to Get Started: what data to collect, how to mine your data, and how much data you need to begin
Audience
Anyone who has been asked to give an estimate for a User Story, Epic, Feature, Project, and/or Release
Executives, managers, or team members who want better understanding and transparency into the health and performance of their process
Anyone who currently uses Agile or Lean Methodologies and is interested in how to improve the overall predictability and efficiency of their current practices
