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…
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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

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