Continuous experimentation is one of the biggest drivers for progress. It enables Lean, Agile, and DevOps principles to work together in harmony to achieve value quickly, while promoting rapid learning. It is a powerful tool for startups and small organizations that want to increase their business value in short periods of time. Trying to experiment in an enterprise that has loads of brownfield/legacy technologies is however a different beast. Systems and environments might not be fluid and adaptive enough for short experiments, and there might be many dependencies that constrain learning.
In this session, I will share some patterns we learnt from our company’s failed experimentation efforts, along with tips, tricks, and cheats to pivot and adapt as needed.