Product Analytics --
I have my first request for the team. I am working on a potential improvement to the Articles for Creation (AfC) process in English Wikipedia. You can read about the challenge on the project page, and the likely improvements here on the talk page.
I know which metrics the improvement will be aimed at improving, and I have had a lot of trouble calculating them (and associated reports) myself using the MediaWiki core data. This task is about either (a) building lightweight reporting for AfC and its relevant metrics (lightweight in that it will not need to go up the chain to executives) or (b) helping me do this myself -- whichever turns out to be easier.
Here are the main metrics that we'll be measuring (potentially broken out by some other dimensions):
- 60-day rolling mainspace rate: for a given cohort of drafts submitted to AfC, what percent of them are in the main namespace 60 days after their submission?
- 90-day rolling survival rate: for a given cohort of articles that came from AfC, what percent of them are nominated for deletion 90 days after being moved to main namespace?
- Quality article waiting period: for those drafts that were accepted to main namespace on their first review, how long did they have to wait for that first review after being submitted to AfC?
These can likely all be calculated using templates and categories in the MediaWiki history data, and I have a lot more information (and some code that I've written) that give us a head start!
The engineering work will likely begin in two weeks, and end in six weeks. Therefore, I would like to be able to start producing these numbers within about three weeks. Please let me know how we should proceed, and if you need additional clarity to inform that decision.