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For evaluating visual-analytics tools, many studies confine to scoring user insights into data. For participatory design of those tools, we propose a three-level methodology to make more out of users' insights. The relational insight organizer (RIO) helps to understand how insights emerge and build on one each other. In recent years, computers have also been used to develop visual methods and tools that further support the data analysis process. With the advent of the emerging field of visual analytics (VA), the underlying concept of visual tools is taken a step further. In essence, VA combines human analytical capabilities with computer processing capacities. In the human-computer interaction process, the user generates new knowledge and gains insights.