Teams strive to achieve a flow state where they consistently produce value at a sustainable high rate, but many still fall short. This can often be because the metrics most companies track for their software teams are either fairly useless or influence the wrong behaviors that hinder flow. This session will dive into a practical collection of team metrics around the delivery of value and how to use them properly to move closer to that elusive flow state. We will cover building a balanced metrics quadrant and how to evolve what you measure through the four stages of analytics: informative, diagnostic, predictive, and prescriptive. Equipped with this practical data, your teams will be able to quickly identify areas of concern, focus continuous improvement activities to remove obstacles, and reach that ultimate flow state!

Learning Outcomes:

• Identify the real underlying reasons for measuring teams.
• Understand the impact of using metrics poorly.
• How to define a metric in a manner to promote the best behaviors.
• Understand the four types of data analytics: descriptive, diagnostic, predictive, and prescriptive.
• How to build a balanced metrics approach to maximize flow.