With the deepening of aging, the collision of digitization and aging has formed an insurmountable “digital divide”, and how to promote the optimization of aging service supply has become an urgent problem for the government to solve. In this paper, we take the government service APP “SuServiceOffice” as the object to carry out the research on ageing-friendly design. Firstly, a questionnaire survey was conducted to understand the needs of rural elderly people, and secondly, Kano model and QFD theory were applied to categorize the needs of rural elderly users and explore their multi-level needs, so as to locate the direction of the app design more accurately. In the usability test of the optimized “Su Service Office” App, the overall task completion rate of the subjects is high, with most of them completing the tasks in less than 2 minutes, and the average satisfaction score of the participants reaches 89.88, which indicates the feasibility of the aging-friendly design scheme proposed in this paper. This paper has certain reference value in effectively identifying and acquiring the functional needs of the elderly group for ageing-friendly apps, and improving the satisfaction of ageing-friendly apps.
