Agile Maturity Model – Using Your Organization's Dark Data to Measure Agile PerformanceDavid Koenig
schedule 1 year agoSold Out!
The goal of any high-performing Agile organization is to constantly be improving their practices thru feedback and iteration. The practices and behaviors recommended to achieve better Agile maturity are well understood—short cycles, feedback loops, product ownership, cross functional teams, co-location, test-driven development, Continuous Integration and Deployment, pair programming, and more.
In reality, however, we often wonder how well our teams are doing to implement these practices that we’re promoting so loudly. Exclaiming that automated deployments are a must, or that acceptance testing is required for “definition-of-done” to be achieved, is great, but when push comes to shove and deadlines are looming, what really happens?
In this session, we will introduce the Agile Maturity Model, an analytical method for capturing, analyzing, and presenting the vast amount of dark data that exist in our everyday SDLC tools. Dark data is defined as “information assets that organizations collect…in the course of their regular business activity, but generally fail to use for other purposes.” (Gartner). Our session will present:
- The motivation behind and value derived from the Agile Maturity Model
- How it was rolled out, and what challenges our teams had to overcome
- Benefits achieved (so far), and path forward
With the Agile Maturity Model, Agile teams get a scaled view across any number of projects to predict how they are delivering vs. their goals, how performance is trending over time, and where teams might benefit from coaching. With this model, Agile teams create a real-time feedback loop that helps them self-correct and tune performance at the team level, while also providing senior management with the information they need to govern the full portfolio of projects.
Any organization using standard SDLC tools for story tracking, test and defect management, build automation, deployments, code analysis, etc., can benefit from this model to help them track and improve their Agile performance.