The challenge in data analysis often lies in taking account of the multi-dimensionality and complexity of the data and at the same time discovering patterns, which requires reduction and simplification. Quantitizing qualitative data can serve as an additional step during data analysis to broaden the perspective and collect complementary views. Examples from research illustrate how information gathered during one data collection can generate different types of data or how qualitative data can be transformed to be analysed statistically. Practicalities of integrating qualitative and quantitative analyses are illustrated to offer good-practice examples for transformation designs (QUAL → QUAN). With the methodological reflection of research practice I evaluate consequences for the field of mixed methods research, in which the statistical analysis of codes created during an interpretive phase plays a minor role.