In order to reasonably define the product compatibility demand preference and its priority to improve the user product compatibility experience in a targeted manner, a product design priority configuration method based on user characteristics classification is proposed.The Pearson correlation coefficient is integrated into the bounded rationality hypothesis model to classify the characteristics of the user group and screen the influencing factors of user demand and behavior deviation according to Pearson correlation coefficient, and used as the basis for characteristic users. The analysis of hierarchy process (AHP) is the main method, from the three dimensions of product attributes, symbolic elements and human-machine factor to construct a product suitability evaluation and analysis system, to quantitatively analyze product feature elements, to explore the priority of different feature users to product design elements, and to control the demand trends of feature users demonstrated in the product selection and use process, and use this as a basis to improve product compatibility experience. The effectiveness of this method is verified by the female protective articles during the epidemic period, which provides a product design priority configuration method for the design and development of female protective clothing and other products.