Hi Jan,A few years ago, the Grants (now Community Engagement) dept. at WMF put together a set of metrics designed to measure the impact of different kinds of grant-funded and/or "programmatic" events and activities within the movement. Many of these metrics were built into the Wikimetrics tool, developed by the Analytics team to help individuals and groups measure and report the impact of their activities themselves.The metrics we developed aren't perfect, but they were based on research and intended to be accessible and provide coverage for a wide variety of activities related to the Wikimedia movement. So they represent a framework in that respect. To learn more about them, you might ask members of the Learning & Evaluation team.- JOn Sat, Feb 4, 2017 at 7:34 AM, Jan Dittrich <jan.dittrich@wikimedia.de> wrote:______________________________Here is what I found useful so far:Sadly I found a lot of warnings about "vanity metrics" online (recommending $ made instead) but no framework, research or case studies on organizational impact and understanding of metrics and how colleagues can be helped to be empowered to do a basic evaluation of metrics.It seems to easily happen that a well meant metrics is proposed, but that this is actually not sure to be correlated with something value or (at least with my skills) super hard to measure technically [1].Hello Analytics,So I wanted to create some easy-to-graspmaterials, maybe to put them on a poster or in a video… whatever.So you have any framework, research or case studies that could help us to teach and empower to evaluate metrics and their use?- https://en.wikipedia.org/wiki/
DIKW_pyramid and similar frameworks like https://randomblatherdotcom.files.wordpress.com/2014/04/bmus t7rcuaa6ueo-jpg-large.jpeg - For the need of organizational sensemaking: Weick, Sensemaking in Organizations
- And, not directly related but providing some inspiration: Robust methods and visualizations by Tuckey, decision making under uncertainty by Gingerenzer.
Jan
[1] In which case I prefer no metric at all, and investing into qualitative research instead, till the problem space is better understood, but if metrics are already there it often stays…
--Jan DittrichUX Design/ User Research
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