The work aims to propose a product need evaluation method for medical unmanned food delivery vehicles based on KANO model and AHP hierarchical analysis to solve the problem of poor dining experience of hospital inpatients, and improve the dining satisfaction of patients.Firstly, through semi-structured interviews, behavior observation and other methods, a user experience journey map was established to express the user ordering and picking up process visually, to obtain the 21 initial need items; Then, the KANO model analysis method was used to obtain the classification of product attributes, and then get effective user needs; Next, based on the classification results, non-differentiated needs were eliminated, and an AHP hierarchical analysis model of medical unmanned food delivery vehicle design options was constructed for scoring and weighting; Finally, the top-ranking need indicators were used as the design priority set, to produce their corresponding design strategy and program design practice. In conclusion, using KANO model and AHP analysis for design research of medical unmanned food delivery vehicles can more scientifically and accurately analyze the connection between product attributes and design needs, which can help to explore user needs and thus improve user satisfaction, and provide reference for the selection and optimization of the same type of product solutions.