Hello Analytics, 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].
So I wanted to create some easy-to-graspmaterials, maybe to put them on a poster or in a video… whatever. 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. *So you have any framework, research or case studies that could help us to teach and empower to evaluate** metrics and their use?* Here is what I found useful so far: - https://en.wikipedia.org/wiki/DIKW_pyramid and similar frameworks like https://randomblatherdotcom.files.wordpress.com/2014/04/bmust7rcuaa6ueo-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 Dittrich UX Design/ User Research Wikimedia Deutschland e.V. | Tempelhofer Ufer 23-24 | 10963 Berlin Phone: +49 (0)30 219 158 26-0 http://wikimedia.de Imagine a world, in which every single human being can freely share in the sum of all knowledge. That‘s our commitment. Wikimedia Deutschland - Gesellschaft zur Förderung Freien Wissens e. V. Eingetragen im Vereinsregister des Amtsgerichts Berlin-Charlottenburg unter der Nummer 23855 B. Als gemeinnützig anerkannt durch das Finanzamt für Körperschaften I Berlin, Steuernummer 27/029/42207.
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