The objective of this research was to develop data collection instruments that allow the identification of relevant quality management practices (QMp) to productivity indicators related to the economic, environmental and social sustainability of the dairy industry. The identification of the variables was carried out, on the one hand, through an exhaustive literature review and, on the other hand, through the suggestions of the academy and industry experts. Subsequently, in the construction and validation of the instruments, the most cited models in the literature about Quality Management (QM) were considered and the content validation by top managers was included. The findings revealed that the most reported QMp in the literature are 32 and that productivity indicators of the dairy industry suggested by the experts were 7 in total. Content validation evinced that vocabulary and structure of the instruments is adequate and understandable. The originality and the value of developed instruments in this study consist in that, unlike the previous ones, they will allow identifying the relevant QMp to specific productivity indicators for the dairy industry context. Additionally, they are easily adaptable to different agro-industries and they will generate inputs for the continuous improvement of companies and the strengthening of their competitive advantages. This makes them a valuable and useful tool for data triangulation, for future empirical research, for practitioners, managers and political decision-makers.