Applying Flow Metrics for Scrum
Is your team answering the same three questions at the Daily Scrum but not seeing any work move? Are you overcommitting to every sprint and stuck with endless carry-over? Do your retrospectives feel like the same conversations with little impact?
Then your Scrum Team needs Flow Metrics! In this course, you will learn how to leverage four simple data points to help your Scrum Team break the cycle of endless status and move towards informed decisions, accurate planning, and actionable improvements.
Applying Flow Metrics for Scrum will teach you not only how to identify how much work to plan but also how to accurately forecast when individual work will be done in a Scrum Team’s context. Predict delivery, deliver on time.
Course Details
Supercharge your scrum using the power of flow metrics. After taking the course, you will have an opportunity to validate your understanding of Flow Metrics for Scrum with our online assessment that evaluates your knowledge and provides guidance on areas to improve. Upon passing, you will receive the “Professional Flow Metrics for Scrum” (PFMS) certification and badge through Credly.
Leverage metrics for accurate Sprint Planning
Use forecasts in Daily Scrum to organize around work in progress
Track progress toward critical dates and deliverables
Identify opportunities for measurable team improvements
Tools for Product Backlog Item refinement to increase flow
Flow Metrics: WIP, Work Item Age, Cycle Time and Throughput
Application to Scrum Events (Sprint Planning, Daily Scrum, Sprint Review, and Sprint Retrospective)
Flow Analytics: Cumulative Flow Diagrams (CFDs), Scatterplots and Monte Carlo
How to Get Started: What data to collect, how to mine your data
Executives, Managers, and Team Members seeking enhanced insight into their process's health and performance
Individuals responsible for estimating timelines for User Stories, Epics, Features, Projects, and Releases
Practitioners of Agile or Lean Methodologies aiming to improve the predictability and efficiency of their processes