Learning patterns/Number of individuals involved

Number of individuals involved
problemIt is easier to demonstrate impact if you can show who participated, or benefited, from your work.
solutionReport on the number of people who were involved in your event, project or program, making sure to count each person only once.
creator• EGalvez (WMF)
endorse
created on26 August, 2014
Category:Learning patternsCategory:Pages using Probox


Global Metrics
This learning pattern one of seven Global metrics.

What problem does this solve?

This learning pattern describes how to obtain the global metric on the number of individuals involved in your event, project, or program.

Context

This metric would help to understand how many individuals are being reached in the movement. By aggregating this data, we will be able to see how many people are reached over time, and hopefully see the Wikimedia movement grow.

What is the solution?

Some definitions

Individuals involved is EVERYONE who was involved in your event, project or program, making sure to count each person only once. Types of individuals might be:
  • Event/Program/Project organizers
  • Any volunteer or staff help, on-wiki or off-wiki
  • Guest speakers, lecturers, teachers, ambassadors
  • Partners (Individuals, not entire organizations, unless they all attended an event/project/program)
  • Attendees, students
  • Users who created accounts
  • Users who edited Wikimedia projects
NOTE: Do not count someone more than once - for example, if someone participated as staff and added their names to the attendee list, they count as 1 person.

How to Measure

  • Sign-up sheets
  • Event registration lists
  • Event page on wiki (but only users who made edits during event times)
  • Classroom rosters/student list or Education Extension
  • Mailing lists
  • Calendar applications
  • Other ideas?

General considerations

This is important in educations programs, especially with teachers as many will not edit but may be willing to supervise or do administrative tasks. See Grants:PEG/Leigh Thelmadatter/Establishing finances of Wiki Learning Tec de Monterrey/Report (section)

When to use

Endorsements

See also

  1. Number of newly registered users
  2. Number of active editors involved
  3. Number of individuals involved
  4. Number of images or media used in Wikimedia projects
  5. Number of articles created or improved in Wikimedia projects
  6. Number of bytes added and removed from Wikimedia projects
  7. Learning question: Did your work increase the motivation of contributors, and how do you know?

References

Category:Reporting patterns Category:Global metrics patterns Category:Evaluation learning patterns Category:Learning patterns ready for translation Category:Programs learning patterns Category:Wikimetrics learning patterns Category:Participation learning patterns Category:Low complexity learning patterns Category:Evaluation measurement learning patterns
Category:Evaluation learning patterns Category:Evaluation measurement learning patterns Category:Global metrics patterns Category:Learning patterns Category:Learning patterns ready for translation Category:Low complexity learning patterns Category:Pages using Probox Category:Participation learning patterns Category:Programs learning patterns Category:Reporting patterns Category:Wikimetrics learning patterns