The acceleration of social development and urbanization has led to an increase in the number of women living alone in cities. Due to their physiological and psychological characteristics, these women face heightened safety risks when travelling at night. This study aims to design and evaluate the functions of intelligent security products tailored for women living alone during nighttime travel. Initially, the Customer journey map (CJM) method was employed to identify the pain points and opportunities experienced by users while walking at night. Subsequently, the KJ method was employed to explore, refine, and integrate deeper user needs into a comprehensive list of requirements. The Kano model questionnaire was then designed to subjectively evaluate the positive and negative aspects of the same functional characteristics, classifying them according to the KANO attribute classification comparison table. This allowed for the prioritization of demand items by excluding indifference attributes and focusing on the essential, expected, and attractive attributes. The results indicate that women living alone have significant concerns regarding the safety of nighttime travel. It is therefore crucial to optimize the design of real-time monitoring, alarm, and emotional interaction functions in the products in order to enhance their practicality and user satisfaction.