What's requested:
Research questions for background
Anonymous editors: who are they, how many of them are there, and how should we engage them?
Who are the anonymous editors?
How many are there?
What share of productive edits (scale and impact/productivity overall) are made by anonymous editors? (across wikis)
Please help brainstorm other ways there may be to break down this data!
How many are there?
- Unique users/devices from year 2019
How else can we break down the data we do have?
- Platforms being used (mobile, desktop, other?)
- Tools being used if applicable, indicated by edit tags
- Size of users' screen
- Geocoding
- Browser family (chrome, safari, and associated types/versions)
- Referral class (internal -- internal page v external -- search engine)
- Time ranges (daily, weekly, monthly)
- % of total edits on all wikis
- How to measure ‘productivity’?
- Non reverted?
- Size? Is typo-fixing sufficiently ‘productive’?
- What other ways?
- How to measure ‘productivity’?
Why it's requested:
Toby requested this research and Growth team (and others) will utilize the findings to inform product direction. This data will provide more context of the scale of IP editors and their impact. Will also inform design research interview protocol.
When it's requested:
Connie has already provided some Superset data on anon editor edits, the above are remaining questions that require sql querying.
Other helpful information:
Research brief on the project.