Co-Production: How can we better involve users in data analysis?

Wonder whether @aditya kumar, @bunita and others from Cape Town might have anything to share on this? Lots of work on mapping, enumerating, profiling areas with communities - how/do you involve people beyond this initial data collection phase?

From memory @duncanshallard-brown implied (with a shaky yes/no hand!) that Prisoners Abroad has some ways of involving its clients after initial data collection... We didn't have time to get into the specifics in our break-out room, but do share any points of interest here Duncan if you have a second

Thanks for the discussion this morning!

Much to my regret, I didn't hear the Yuva Centre presentation - my speciality is monitoring and evaluation so this is a topic of particular interest! I did see the presentation beforehand and thought it raised some fascinating issues.

I think involving users in qualitative data analysis is relatively straightforward. We understand and use language all the time, and there are a number of methodologies designed to involve stakeholders in qualtiative analysis. Most Significant Change is one example; this involves collaborative decision-making about which changes from a project are the most example. See here for more information: https://www.betterevaluation.org/en/resources/guides/most_significant_change

Collaborative quantitative data analysis is much more difficult. Quantitative analysis is quite a specific skill, and much more often done individually, compared to qualitative analysis. I would love to hear some examples of this!