Retrospectives for Data Science Teams

Data science work doesn’t come in sprints. It is traditionally demand-driven or problem-driven. Problems, as you know, do not come in fixed cycles and mostly, there is an urgency to solve said problem — as the opportunity cost is counted daily (if there is no urgency, you’re not tackling the right problems OR aren’t framing them properly). There have been attempts to sprintify DS work, but it never works. Ask any data scientist what they’re working on, they’ll talk about how the majority of their time goes in ‘cleaning’ the data — a concept, that is not what you think it means. Regardless…