Data Platform Engineering/Data Products/Team Process

Team Process
These are internal Data Products team process, we describe our work intake process on a separate page.

You can track our current work on our workboard, we work in sprints - you can see our current sprint work on the right most column.

Task Creation Quick Links

 * New Bug
 * New Epic
 * New User Story
 * New Task

How we work
Our process is based on the Inclusive Product Development cycle. As we move from left to right we are progressively refining our understanding and narrowing scope of the work. Throughout the process there are feedback cycles allowing us to tune and pivot as we learn.

It is important that we also consider our work cycles within the context of short, medium and very long term strategy. How does what we are doing this week impact what we are doing this sprint, this year, this decade.



The small piece of work we are doing right now to close a task, user story, setup monitoring, improving CI/CD, add a test or write docs ladders up to delivering on our OKRs and overarching mission. It is crucial for us that we manage both levels of perspective, "think big, work small".

So practically speaking, how does this work?