Authors vs Commenters vs Assignees on Productivity Analytics

Problem to solve

Merge request often take a long time to be complete due to a long review time. With this graph, we would like to understand whether there are particular assignees / reviewers (implied by the people that comment, merge and author), that usually drive longer times

Intended users

Further details

Proposal

As a next chart on the productivity analytics page, let's add a sankey diagram where we see:

• authors
• commenters
• approvers
• mergers

We also want to see how many comments and follow-on commits exist, so we can make the lines different colors based on the back and forth, but we will leave this for another iteration.

Permissions and Security

Documentation

Testing

What does success look like, and how can we measure that?

What is the type of buyer?

Links / references