We take privacy around your data very seriously. We're thinking about the ML training model as a "walled garden", ie recommendations are based on your past sprint activity, effort load, tasks completed during a sprint, etc. and are exclusive to your organization.

In the future, if we decided to do benchmarking (for eg quick recommendations on how companies in your industry are running sprints), we would have a double opt-in. This would mean anonymizing the data, and providing the recommendations an opt-in. Basically, very similar to how google's autocomplete email recommendations work.