The purpose of this paper is to effectively obtain users' demand and weight for the auxiliary employment of the disabled, and determine the design requirements of the auxiliary employment products, so as to optimize the process of the auxiliary employment products for the disabled and promote the development of the employment of the disabled. The specific implementation process is as follows: First, use the user journey map to explore the user behavior path and obtain the initial user needs; Secondly, the user needs are classified by Kano model and the demand weight is determined; Finally, QFD completes the transformation between user requirements and design requirements, obtains design weights, and obtains key design goals by comparison. Through the combination of user journey map, Kano model and QFD model, this paper takes the Green Horse aided employment product for the disabled as an example to study, provide design basis and verify the feasibility of this method, and improve the aided employment product from the three dimensions of the disabled, product and buyer.

Wang Qing, Liu Qishi, Ye Yanghao, Tang Boxiang, Zeng Yulong. Research on Product Design of Assisted Employment for the Disabled Based on Kano QFD. Frontiers in Art Research (2022) Vol. 4, Issue 14: 77-86. https://doi.org/10.25236/FAR.2022.041415.

[1] Zhou Pei. Social Investment: Logic and Effectiveness of Auxiliary Employment Service for the Disabled [J]. Social Science Series, 2020 (02): 80-86+2 

[2] Huaxing Xia, Sun Yu. The Practice Predicament and Path Optimization of the Auxiliary Employment of the Disabled -- Taking the Nursing Institutions for the Disabled in Nanjing as an Example [J]. Social and Public Welfare, 2020, 11 (10): 53-55 

[3] Xu Xiaoling. A Study on the Targeting of the Policy of Assisted Employment for the Disabled in the Perspective of Welfare Governance -- Based on the Local Practice of Assisted Employment in M City [J]. Zhongzhou Academic Journal, 2020 (09): 88-94 

[4] Deng Xingyi, Liu Lin, Zhang Ruiqiu. Optimization design of fitness game system based on Kano QFD [J]. Packaging Engineering, 2021,42 (14): 148-154. DOI: 10.19554/j.cnki.1001-3563.20214.017

[5] Geng Xiuli, Xu Shidong, Ye Chunming. Optimization design of product functional requirements considering quantitative KANO analysis [J]. Computer Integrated Manufacturing System, 2016,22 (07): 1645-1653. DOI: 10.13196/j.cims.2016.07.004

[6] Geng Lisha, Kong Zuojie, Geng Lixiao. Research on the Innovation of QFD Customer Demand Importance Determination Method [J]. Contemporary Economic Management, 2016, 38 (09): 20-25. DOI: 10.13253/j.cnki.ddjjgl.2016.09.004

[7] Chen Junhu, Liang Cuicui, Wu Jinjun, Su Ruhao. Research Progress on Service Demand Based on Kano Model [J]. China Health Management, 2010, 27 (03): 152-154 

[8] Wu Chunmao, Li Pei. Construction of user experience map and contact information analysis model [J] Packaging Engineering, 2018, 39 (24): 172-176

[9] TONTINI G. Integrating the Kano Model and QFD for Designing New Products[J]. Total Quality Man-agement & Business Excellence, 2007, 18(6): 599-12.

[10] CHAUDHA A, JAIN R, SINGH A R, et al. Integration of Kano’s Model into Quality Function Deployment (QFD)[J]. The International Journal of Advanced Manufacturing Technology, 2011, 53(58): 689-698. 

[11] TU Xing-ya. Application QFD and KANO Model to Experience Design for Cultural Tourism[D]. Hangzhou: Zhejiang University of Technology, 2014.

[12] WANG Juan-li, XIONG Wei. A Product Design Evaluation Model Based on Quality Function Deployment[J]. Science and Technology Management Research, 2014, 34(10): 53—57. 

[13] Yi Yanyang. Auxiliary Employment Service Chain for the Disabled: Structure, Risk and Governance [J]. Research on the Disabled, 2021 (04): 70-79