The aim of this study is to demonstrate that popular measurement techniques – visual inspection, mechanical tools (digital calliper and steel linear ruler) and modern photogrammetry – can be used to detect shrinkage in 3D prints produced using Fused Deposition Modeling (FDM) technology. The choice of the appropriate technique can be made objectively. Measurement techniques and their interrelationships have been the subject of much discussion and numerous scientific articles. They can be described using various criteria, which are often competitive and mutually exclusive. To avoid bias when selecting the measurement method, a multi-criteria decision-making tool – the Analytic Hierarchy Process (AHP) was used. The results obtained in this study provide a quantitative decision-making framework for researchers selecting measurement methods in FDM quality control. The AHP analysis showed that decision-makers with the profile of a university researcher and lecturer tend to disregard visual inspection techniques and choose mechanical tools or photogrammetry, despite differences in the assessment of the importance of individual criteria characterising a given method. The key criteria for this profile of decision-makers were: measurement system precision (C2) and the overall ability of the technique to detect shrinkage (C8). The least important criteria were: the time-consumption of the measurement and the potential for automation of the measurement technique (C9). The analysis of weight aggregation (using a linear rule) and sensitivity analysis showed that decision-makers with the profile of a research and teaching staff can rely on the results presented in this study.