Experience of building Agile Center of Excellence (CoE) for organization-wide Agile maturityRahul
schedule 1 year agoSold Out!
When any organization plans to move to Agile methodology, it needs to plan multiple initiatives for successful transition. One of the important initiative would be building an Agile Center of Excellence, a team which would support for consistency of Agile implementation across the organization. The Agile CoE we built worked on multiple aspects such as:
- Defining organization-wide Agile methodology, tailoring it as per organization environment if required
- Build knowledge of Agile across the organization
- Supporting the team members with any ongoing queries
- Support in building required Tools and Templates required implementing Agile
- Assessing Agile implementation of different projects, identifying any gaps or improvement areas
This session would cover practical experience of how we built a successful Center of Excellence, which become a big enabler for successful Agile transformation.
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.