Aim: This initiative aims to conduct a user demand survey for customized sneakers targeting the Chinese market. Building on user research data, we will propose strategies and solutions to enhance the current suboptimal customization process experience, thereby enriching and stimulating the current sneaker consumer market in China. Methods: Starting from the current market environment and user needs, we employ the KJ method to summarize user demands and pain points in the sneaker customization process, identifying primary and secondary requirements for the app interface design. Subsequently, we employ the Kano model for questionnaire design and analysis, applying the Better-Worse coefficient calculation method to categorize and prioritize functional attributes. This enables us to formulate design strategies for the sneaker customization app interface and conduct design implementation. Results: The study summarizes authentic user requirements for the sneaker customization app, guiding the development of design strategies across three dimensions: functional service system, visual specifications, and user applicability experience. These strategies informed final design implementation and validation. Conclusion: The integrated KJ-Kano model effectively prevents designers’ subjective assumptions while accurately reflecting authentic user demands in the sneaker customization market. These research outcomes provide valuable references for product development and design studies in customized footwear domains.