Visualizing qualitative patterns

How do you move from coding your data to identifying patterns, exploring associations and uncovering relationships between people, places or processes? We have recently devised a visual system to identify patterns using qualitative data, which has been already tested in different evaluations carried out for UNESCO, ILO and IOM.

In the example below, we used the system to develop an “Outcome Harvesting” approach. First, we carried out an initial round of coding to sorting out data, creating and applying codes and categories. Then, we identified patterns across and within data sources. In the visual, each dot/line represents a change, which are categorized following several criteria: level of change, level of validity/triangulation, the type of change, the GRES score (level of gender responsiveness) and the contribution to sustainability. The visual allows to identify the main trends and select the most relevant changes under each category.

The system has been created in Tableau, and we will soon share the original file in case you want to have a look and use it in your next research endeavor.

Let us know should you have any question/comments on how to improve the visual.

Find some other resources here.

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