Learning patterns/Tracking user contributions by chapter
What problem does this solve?
Membership based chapters often struggle to track the online contributions of their members. A number of methodologies have been tried with various level of success, and various level of efforts is required by chapters or members to track member contributions.
What is the solution?
There are multiple solutions : Chapters can ask members to tag their contributions with a chapter-related tag; chapters can track individual users by username, or; chapters can also survey community members directly and ask them to report on their contributions.
- Address this concern while planning activities (don't think about it only after the fact!).
- Technical difficulties in using tools, or writing codes.
- Privacy issues : users might be concerned about their edits and may not want to be tracked.
- WM Antarctica has been leading a number of editathons for first time users, but they don't know whether their users continued contribution after the events. They can't say or know how effective their work was, and they don't know how improve it over time (or whether to abandon it if it was totally ineffective!).
- Cjsjdjdicnj bmdkodhshobmsfickcj joh 126.96.36.199 17:36, 10 December 2016 (UTC)
- 3025143656142541352154[大家大大】 188.8.131.52 21:37, 25 May 2018 (UTC)