Product Analytics/Wiki comparison suggestions

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This page lists suggested additional metrics for the wiki comparisons dataset. Please add your own ideas or vote for ideas that are already here!

Dimension Notes Votes
Mobile retention rate Needs some data infrastructure (e.g. editor_day table) Neil, Jan
Uses language variants? Not sure what the best way to get this list this is
Fundraising revenue Would help us understand places where major reader-facing changes could potentially impact fundrasing
Number of associated countries Probably based on the percentage of editors and readers from the country; needs analysis to decide where to set the threshold; perhaps should be split into major and minor countries Jan, Dana
Top country Jan, Dana
Ratio of top associated country to second associated country Jan
wiki age It turns out there's no good way to get this data for the hundreds of wikis created before 2005—and a feature with that many values of "≥13 years" doesn't seem very useful.
monthly registration
very active editors editors with 100 or more content edits in a month Jan
uses flagged revisions
has ArbCom Relevant profiles https://office.wikimedia.org/wiki/Trust_and_Safety/ArbCom_maps

Overall https://meta.wikimedia.org/wiki/Arbitration_Committee

Jan, Sydney
has oversighters https://meta.wikimedia.org/wiki/Oversight_policy#Requests_for_oversight Jan
has checkusers https://meta.wikimedia.org/wiki/CheckUser_policy#Access_to_CheckUser Jan
Global South/Emerging Communities traffic percentage Jan, Dana
speakers to editors ratio Would require collecting (above) speaker population, but that will be very difficult to gather for anything more than top 20 or so languages; Ethnologue sells the best dataset Jan
speakers to mobile devices ratio also requires speaker populations Jan
language health Ethnologue's dataset also includes a measure of language vitality: https://www.sil.org/about/endangered-languages/language-vitality Neil
visual editor deployment status multiple different options; where is the data?; visual edits proportion already handles a lot of the same questions
pageviews we have various pageview proportions (e.g. mobile web pageviews proportion) but not the total number Neil, Jon
number of user accounts blocks - by reason Community health initiative looked at one week of total block # by wikis https://docs.google.com/spreadsheets/d/1_4GZ2WUurxaehlNeab5mF7VDgOgHd-PXjFjsLD5tY2Q/edit#gid=1703473757- good data but needs to be separated by reason to be more meaningful Sydney, Jan
talk page edits proportion
number of talk page editors
median article quality velocity and acceleration would also be interesting if can be directly queried with ease Adam
volume in important articles velocity and acceleration would also be interesting if can be directly queried with ease Adam
articles injected from translation velocity and acceleration would also be interesting if can be directly queried with ease Adam
multimedia (by type) coverage velocity and acceleration would also be interesting if can be directly queried with ease Adam
mobile Android app edits this is to just be more granular. velocity and acceleration would also be interesting if can be directly queried with ease Adam
mobile iOS app edits this is to just be more granular. velocity and acceleration would also be interesting if can be directly queried with ease Adam
mobile web edits this is to just be more granular. velocity and acceleration would also be interesting if can be directly queried with ease Adam
citation (by type) coverage velocity and acceleration would also be interesting if can be directly queried with ease Adam
external referer count velocity and acceleration would also be interesting if can be directly queried with ease Adam
Logged in page views, mobile and desktop distribution of page views between logged in and non-logged in users Margeigh
% of editors who edit other wikis might help distinguish e.g. Meta, MediaWiki.org, Commons from other wikis
new content pages
new editor retention
Link this to country-specific data (like that in https://docs.google.com/spreadsheets/d/1AMUiZ4z3CCSBClmEU8T6JpASJd2_D4vfR674B2c6NCg/edit#gid=0). It won't be very hard to decide which countries are associated with which wikis, but it's not clear how to weigh country data back up into a per-wiki value. Neil, Adam
Median page load time or other connection quality metric as recommended by the Performance team (e.g. like this but per wiki instead of per country: https://commons.wikimedia.org/wiki/File:Median_Wikipedia_page_load_times_by_country_(desktop%2Bmobile,_enwiki,_Dec_2015-Jan_2016).svg ) Tilman, Quiddity
Anon edits broken down by platform (mobile web, mobile app, desktop) Rita
Registered users Ease sorting and looking up.