Initiatives

Some Data

Understanding reader, editor and wiki-specific phenomena through quantitative analysis

some data

Overview

In addition to it's qualitative and experimental work, the WMF Design Strategy team also supports product development through data gathering and analysis. From tracking key characteristics of the 732 wikiprojects worldwide to testing/validating hypotheses about the factors that drive momentum in the Free Knowledge Movement, these sorts of quantitative studies provide insights that enable the Product teams to make more informed decisions.

Studies

  1. Momentum
     
     

    This study will test some key hypotheses: that building awareness of the brand drives more people to read our content; that by growing readership the Movement itself grows as readers are converted into content contributors; that as the community grows so does the amount and diversity of content offered; and that more, and more diverse, content attracts more readers.

  2. Wiki Comparison
     
     

    This initiative established a baseline for comparing key characteristics of 732 wiki projects (number of editors, amount of content, readers, readers by platform, etc).

  3. Machine Translation Meets Human Perception

    The Machine Translation Meets Human Perception (MTMHP) study developed a protocol for evaluating how readers perceive and evaluate machine-translated content - across three different languages, cultural contexts, and content domains.