Productivity Analytics MVC
Problem to solve
The development cycle is currently a blackbox for many companies. Value stream mapping is difficult to do well. Even when processes are mapped, drilling down in a systematic way into the issues that are slowing the team down is nearly impossible to do. By deep diving into productivity analytics, an EM can understand how well they are deploying their engineering resources and spot patterns across individuals and projects. Productivity can slow down for many reasons ranging from degrading code base to quickly growing teams. Hence, deep diving into productivity analytics first will likely already convey important problematic or exemplary patterns across individuals and teams.
We would like to understand the time required to approve a merge request, i.e. from first commit until approval and what are the patterns that cause us to slowdown. Ideally, one would expect smaller, regular commits since it's easier for people to review and is likely to generate conflicts.
An engineering manager should be able to come to a dashboard where they can filter by any of our
global filters (#62346 (closed)), i.e. project, date-picker, author, milestone, etc.
Let's create a histogram (all charts should be rendered based on the global search on the page) which plots the a)
Time taken to merge an MR. A user should be able to select either one or multiple bars, which would be used for subsequent graphs. We will only look at merged MRs to start with.
Let's create another histogram which is rendered based on the selection in the first and has a dropdown of the following series:
- b) Time from first commit until first comment
- c) Time from first comment to last commit
- d) Time from last commit to merge. This is out first attempt to start breaking down the MR work to get to a stage where we can represent
- Let's create a third histogram which is rendered based on the selection in the first and has a dropdown of the following series
- Number of commits per MR
- Number of LOCs per commit
- Number of files touched
- We should be able to see a list of MR's based on the selection in a way similar to here, but we should have all columns of the data, i.e. a), b), c), d) and users should be able to order by these columns.
- Let's add a scatterplot with a trendline for the median as described here (#45304 (closed)) as well, where a user can select any of the above series (Time taken to merge an MR, Time from first commit until first comment, Time from first comment to last commit, Time from last commit to merge). The x -axis can be the date the MR is merged, y axis - N of hours / days. (@pshutsin, this has a similar example of a chart: &228 (closed))
Permissions and Security
The dashboard should inherit the project/ groups permissions of users.
What does success look like, and how can we measure that?
Measure: We should include the page in user ping to start with and measure how many people visit and how long they stay on it.
Success: As we develop this further, we expect users to spend a significant time deep diving on the page at least once a week.
Links / references