Research on product design priority allocation based on user characteristics classification.

In order to rationally define the product usability demand preference and its priority level to improve the user experience, a product design priority allocation method based on user characteristic classification is proposed. The Pearson correlation coefficient is integrated into the finite rationality hypothesis model to classify user characteristics, and the factors influencing the phenomenon of divergence between user needs and behaviors are screened according to the Pearson correlation coefficient and used as the basis for the classification of characteristic users. Then, we constructed a product usability evaluation and analysis system mainly based on the hierarchical analysis method (AHP) from the three dimensions of product attributes, symbolic elements, and human-computer factors, and quantitatively analyzed the elements of product features, explored the priorities of different featured users for the elements of product design, and controlled the demand direction of featured users in the process of choosing and using the products, so that we could enhance the experience of product usability based on this method. This paper takes female protective clothing as an example, verifies the effectiveness of the method, and provides a product design prioritization method for female protective clothing and other product design and development.