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Applying Flow Metrics for Scrum

Learn to use flow metrics like WIP, cycle time, and throughput in Scrum to improve team efficiency, planning, forecasting, and workflow with practical data-driven tools.

Intermediate ProKanban.org Traditional (Full Day) · Traditional (Half Day) · Immersive

What changes for your team

  • Stop guessing when work will be done
  • Expose the bottlenecks slowing your Scrum team
  • Make every Scrum event data-driven

Immersive training pays back differently to a two-day course. Sessions spread across several weeks mean each idea is applied in your real work before the next one lands — so capability builds instead of fading under a backlog. Why immersive produces better returns →  ·  Other formats available in the panel above.

Applying Flow Metrics for Scrum

Course Code: AFMS

Overview

This course provides a practical, hands-on exploration of flow metrics within the Scrum framework, enabling participants to optimize team efficiency and project outcomes through data-driven practices.

Target Audience

  • Scrum Masters
  • Product Owners
  • Development Team Members
  • Change Leaders
  • Leaders and Managers
  • Scrum Enthusiasts
  • Anyone interested in data-driven Scrum practices

Learning Outcomes

  1. Understand Core Flow Metrics: Explain and apply key flow metrics including Work in Progress (WIP), Work Item Age, Cycle Time, and Throughput within Scrum.
  2. Integrate Metrics into Scrum Events: Use flow metrics to enhance Sprint Planning, Daily Scrum, Sprint Review, and Sprint Retrospective.
  3. Utilize Analytical Tools: Apply tools such as Cumulative Flow Diagrams, Scatterplots, and Monte Carlo simulations for data analysis and decision-making.
  4. Initiate Flow Metrics in Teams: Identify essential data, collect and interpret metrics, and implement improvements in Scrum practices.
  5. Enhance Planning and Forecasting: Leverage metrics for precise Sprint Planning and effective daily forecasting.
  6. Track Progress and Drive Improvement: Monitor progress towards deliverables and identify opportunities for measurable team improvement.
  7. Refine Product Backlog Items: Apply techniques to optimize workflow efficiency through effective backlog refinement.

Course Topics

  • Flow Metrics: WIP, Cycle Time, Work Item Age, Throughput
  • Application of Metrics to Scrum Events
  • Analytical Tools: Cumulative Flow Diagrams, Scatterplots, Monte Carlo Simulations
  • Data Collection and Interpretation in Scrum
  • Forecasting and Progress Tracking
  • Product Backlog Refinement

Prerequisites

  • No specific prerequisites; a basic understanding of Scrum and Agile practices is beneficial.

Certification

  • Not specified

Frequently Asked Questions

Applying Flow Metrics for Scrum is aimed at Scrum Masters, Product Owners, developers, managers, and anyone interested in using data to improve how their teams work in Scrum. It’s probably not a fit if you don’t work in or with Scrum teams or have no interest in data-driven improvement.

You’ll tackle issues like stalled Daily Scrums, repeat overcommitment, persistent carry-over, and unproductive retrospectives by learning to use metrics to unlock better team conversations and decision making.

There are no strict prerequisites, but a basic understanding of Scrum and Agile concepts will help you get the most out of Applying Flow Metrics for Scrum.

APK is a foundation course that you’re expected to have completed before Applying Flow Metrics for Scrum, which builds upon those basics with practical metrics and forecasting methods.

The course is practical and hands-on, focusing on applying flow metrics within your own Scrum events using real tools and exercises.

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