How do we know if our improvements are actually making things better? If we refactor the code, did we make it better? If we skip the tests, are we making things worse? What does better really mean, anyway?
Once we start tracking metrics on the pain we experience during development, we've got a data-driven feedback loop to learn what actually works! Objective data enables us to do something we've never been able to do before in our industry: science.
The “Continuous Acceleration Toolkit” includes new metrics, new tools, and new science-based learning processes, designed to accelerate you and your team to a whole new level of productivity.
In this talk, we'll discuss the three parts of the Continuous Acceleration Toolkit (OSS Tools and Demo for 2/1/2017 release):
- Metrics - What should we measure?
- Decision Principles - What should we optimize for?
- Science - How can we run experiments and accelerate productivity?
If you want to start learning and improving faster than ever, you won't want to miss this talk.
Zero fluff.