###Diversity
The image below is based on some data from the 2019 Survey. It shows how different the visitors of Stack Exchange and Stack Overflow are. But also, that a majority is 'white male' (from different origin Europe/Russia/USA and this might possibly need to be split up as well) and there are very few women and few people that do not associate with "white" ethnicity.
This makes it problematic to recognize problems that relate specifically to minorities. For this you need to be able to target them specifically, e.g. with a demographics based survey. If you ask the entire group, or listen to the loudest majority, then you may hardly hear the voices of minority groups.
In the image below the correlation with a problem 'belonging to the community' is not so much different for ethnicity (in binary form white vs non-white). But for gender the difference is more clearly different (and reasonably uniform among different countries, thus not influenced by country but rather by 'associating with male gender or not').
And for the aspects that respondents would like to change (which are not available in the open database) there are (many more) clear differences as well.
This is sort of what the loop is imaging (based on keywords from open questions). It images how different people think different about SE/SO along with the demographic information. It will give a sharp image , rather than a fuzzy image that mixes/blends everything together. It will be colorful rather gray. It will have depth rather than being flat. (of course, it is arguable what the meaning of that image is and it will only provide additional information and one can not directly read 'causal' relationships from it)
