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Agile Health Metrics for Predictability

This post is from LeadingAgile by Andrew Fuqua. Click here to see the original post in full.

LeadingAgile uses Agile Health Metrics to demonstrate the results of our process improvement efforts and to identify areas that need further improvement. We have many internal documents describing our approach that we share with our clients, but to my surprise, it seems that we have never blogged about it. Here is a high-level view of the metrics we often start with.


When deciding what to measure, the place to start is with a goal. First, ask yourself what outcomes are you after, your goals. Then consider what is needed to meet those goals. And finally, what metrics indicate whether you have what you need. You may recognize this as the Goal-Question-Metric approach.


Our clients tend to care about predictability, early ROI, improved quality, or lower cost. Predictability seems to be paramount. They want teams to get good at making and keeping promises, consistently delivering working, tested, remediated code at the end of each sprint. A team that is not predictable isn’t “bad” – but they aren’t predictable.  Without stable predictable teams we can’t have stable predictable programs, particularly when there are multiple dependencies between teams.


This post focuses on metrics for predictability. The goal, then, is:


Teams can plan,...

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