This study aims to improve user satisfaction in designing intelligent shoe washing machines using the AHP-DEMATEL method. Beginning with the collection and categorization of basic user data, AHP constructs a hierarchical analysis model of user requirements. DEMATEL is then integrated to identify and analyze comprehensive impact relationships among requirements. Weighted calculations determine the influence degrees between user demand data, resulting in composite factors based on AHP-DEMATEL. The intelligent shoe washing machine is designed based on composite user demand data, and outcomes are evaluated to establish a reliable product design scheme. Design, conducted using the AHP-DEMATEL composite method, is followed by satisfaction assessment using demand indicators, resulting in a completed scheme. Applying AHP-DEMATEL effectively addresses unclear user demand indicators during product development, significantly enhancing the user experience. This study provides valuable reference for similar product user demand research.