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In the field of psychology, serious games have been transformed into digital tools that allow the application of psychological tests, skills training, and the detection of disorders or pathologies. Although interactive systems generate large amounts of data that can be stored, the need arises to identify game patterns that allow the specialist to make data-driven decisions. In this context, visualization models have become a modern and precise tool to solve these representations. This work aims to create a visualization model applied to data extracted from a serious game aimed at training attention and memory. For this purpose, a methodology was proposed that allowed the development of a unified visual analysis environment composed of three interactive dashboards. Finally, the model was evaluated through the technology acceptance model, which showed reliability equivalent to outstanding.
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