The paper aims to effectively meet the special needs of non-mainstream users, solve the problems of reverse demand and glamorous demand that are often ignored in the traditional Kano model research, and propose an improved method for Kano model. The extreme user method is introduced into the Kano model to improve the accuracy of the Kano model for specific population analysis. The card classification method is used to visualize the description information that was difficult to accurately convey through language in the past, and to digitize the preferences and needs of users that are difficult to express intuitively, thereby improving the authenticity and accuracy of user research. By making a user journey map, the pain points of users in the process of using are mined to seek more effective improvement solutions. Finally, the effectiveness of the new design scheme is verified by the fuzzy comprehensive evaluation method. Taking electric scooter as a design case, the special needs of non-mainstream user groups are extracted and analyzed, and the effectiveness of the method is verified, which provides new ideas for the future research of Kano model.