The work aims to propose a simple and easy quantitative evaluation method of product design features to support the product development decision of the companies by analyzing the suitcase design features based on the user evaluation data of JD online mall. After screening of the evaluation data of e-commerce platforms, the classification of suitcase design features was summarized by experts and users in the affinity graph method. SPSS software was used for statistical analysis of evaluation data, the dimension scores were calculated, and the two-dimensional correspondence analysis diagrams were obtained to quantify the suitcase design features. According to the user evaluation data, the suitcase design characteristics were divided into 4 types, such as appearance, function, safety and details. The coordinate information of each sample in the two-dimensional correspondence analysis diagram was used for quantitative calculation of sample design features to quantify the design features of each sample. By means of the data information of e-commerce platform, and based on the correspondence analysis diagram and the calculation of design feature degree, user evaluation data can be converted into the quantitative evaluation of product design feature. The proposed method will provide decision support for enterprise product development.