As I’ve written about before, as a data scientist supporting a product or marketing team with A/B testing, the job is communication – helping to translate between business requirements and what we can learn from statistics. I (and many, many others) have found that there is a lot of value in having a document, shared among the team that is running the test. Some A/B testing tools include some limited workflow for collaboration on testing (e.
