User:MCruz (WMF)/Sandbox/Learning Pattern Campaign report

Learning and Evaluation Barnstar.svg

Let's Talk Diversity campaign - The Report

  • The page was viewed 1,488 times between February 15 and March 18, 2015.
  • A total of 154 edits [1]
  • The main page hosts 6 problems and 20 solutions; while the Talk Page has 14 problems and 29 solutions [2]. The smallest set has 1 problem with no solution, while the biggest set has 1 problem with 12 solutions.
  • Biggest edit was contributed by Kerry Raymond, who added 10,667 bytes, over 55% of the total page length (16,076 bytes)
  • Top editors:
Username # of edits First edit Latest edit Added (Bytes)
Kerry Raymond 9 2015-02-15, 02:01 2015-02-16, 01:39 10,667
Djembayz 7 2015-02-12, 19:39 2015-02-27, 05:05 10,633 5 2015-02-06, 23:26 2015-02-10, 00:16 666
Slowking4 2 2015-03-04, 18:40 2015-03-04, 18:46 445
Ijon 2 2015-02-13, 01:49 2015-02-13, 01:52 1,274
ProtoplasmaKid 1 2015-03-13, 19:08 2015-03-13, 19:08 196
SlimVirgin 1 2015-03-10, 15:57 2015-03-10, 15:57 307
NaBUru38 1 2015-03-02, 21:11 2015-03-02, 21:11 127
John Broughton 1 2015-02-16, 17:19 2015-02-16, 17:19 3,970
KittyCarmichael 1 2015-02-13, 06:31 2015-02-13, 06:31 529
  • Let's Talk Diversity hottest topics [3]:

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  • While users who took part in the campaign did not create any new Learning Patterns; they shared some useful ideas helped to update some existing learning patterns.

Lessons LearnedEdit

  • The campaign allowed us to identify additional Wikimedians interested in growing the learning patterns library.
  • Topic-focused discussions have proved effective. When we call out to the community, via different channels, with a broad topic, but focused questions, Wikimedians are willing to share their experience. To this end, problem - solution pairs proved to be more accessible format to initiate sharing than Learning Patterns. While there could be many reasons why no new Learning Patterns were created here, creating a learning pattern was not the first step to participate for users in the campaign, but the last step, and this may have allowed a more accessibkle starting point to contributing as problem solution suggestions are generally perceived as less complex and time-consuming than drafting a more complete learning pattern.
  • On-going monitoring by community coordinators is important to spot key topics around the main theme, and also to call participants back to the campaign's dynamic when the conversation does not produce any of the expected outcomes (in this case, problem and solution pairs).
  • An ample time frame gives users the chance to come back to the campaign page and contribute new ideas / expand existing ideas based on new activities and events that are taking place. In this sense, having the campaign launch before and run during the month of March, when many organizations joined efforts to bridge some gaps in the projects, was key to the campaign's relevance and success.

Next StepsEdit

  • We will contact participants to distribute Learning & Evaluation barnstars, and encourage them to create learning patterns with their contributions. In this action, we will test our assumptions; as well as experiment with collaborative Learning Pattern creation.
  • We will draft new Learning Patterns campaign, with a focus on themes relevant in upcoming events in the broad movement's calendar.


  1. Less than 0.5% anonymous edits.
  2. Problems and solutions were identified after moderation of an ongoing discussion.
  3. Word cloud visualization with a max of 300 words, using