Experiment Culture: From Tradition to Data-Driven
Traditional brick & mortar retail is struggling with e-commerce for some time now. Our organisation is a successful traditional retail company that has been around for more than 40 years. At this same time we see a number of challenges coming from the "online world". We started our new strategy more than 2 years ago and changed almost all critical things in our organisation. Architecture, people and process. We went from traditional VM to cloud native, from scrum-but to LeSS and from supplier/project driven to a multi-devcenter organisation. We changed our toolset and added Launch Darkly to our toolset in 2017. This started a transformation on developer workflow that took some time to materialise: from long lived feature branches to trunkbased development/github-flow. After much small batch deliveries and tests in production we switched over the last parts autumn of 2018. By this time we’ve gotten familiar with a process that is data driven. By this time a significant percentage of our features are tested using A/B test. We use Launch Darkly for toggling these features.





























Related videos
Latest Videos
Sign up for our newsletter
Get tips and best practices on feature management, developing great AI apps, running smart experiments, and more.