“Quality Culture” is acknowledged as a key factor in patient safety and compliance in the highly regulated pharmaceutical sector. However, organizations find it difficult to measure culture objectively because it is intrinsically behavioural and intangible. Structured, lagging indicators, like the number of open deviations or the frequency of previous inspection findings, have historically been used in quality evaluation. Despite their value, these structured metrics fall short in capturing the complex reality of site operations. The long-text domains of Quality Management Systems (QMS), such as the in-depth accounts found in CAPAs, Change Controls, and Event investigations, contain the real behavioural evidence of a quality culture. The genuine rigor of an organization is demonstrated by the way a problem is explained, the logical progression of a root-cause analysis, and the precision of cross-border translations. This research investigates whether the textual quality of these long-text fields can serve as a quantifiable proxy for quality culture.