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Building on our prior work investigating individuals’ quantitative and covariational reasoning (QCR), we explore complementing methods we have previously used with those involving eye-tracking technology. Eye-tracking technology provides insights into attentional focus, and these insights remain unclear in their application to and association with QCR research. Exploring these applications and associations presents methodological challenges and considerations. We discuss these challenges and considerations with a focus on defining areas of interest (AOIs), modifying graphical tasks, and structuring interview protocols. By making these challenges and considerations explicit, we contribute to the broader conversation on leveraging emerging technologies to complement extant methods that target mathematical reasoning.