This paper presents a design case demonstrating the extension of Code-wise Epistemic Network Analysis (ENA) to model the influence of memo-medium on one’s qualitative analysis. The approach taken adapts quantitative ethnographic methods, namely Code-wise ENA with Multi-Class Means Rotation (MCMR) and hierarchical clustering. By comparing models with and without the variance of the media effect removed, this paper shows the nature of this effect in detail, not just a measure that such effect occurred. The findings reveal that no conceptual category was left untouched by the media effect, though twelve stable “sub-themes” were identified. Overall, this design case underscores the importance of reflexivity in qualitative research and how quantitative tools, appropriately mixed, can support quantitative ethnographers in attending to that evaluative criteria.