The work aims to improve the age-friendliness of furniture products and elevate the satisfaction of elderly users with toilet chairs. With online review text as a driving force, research methods such as Kano, AHP, and TOPSIS were integrated to construct a model for designing age-friendly toilet chairs. Firstly, Python tools were utilized to fetch review texts of related products from the internet, facilitating a deep exploration of user needs for toiled chairs. The Kano model was then employed to categorize user needs into attributes, and the Analytic Hierarchy Process (AHP) was applied to analyze the importance of these user needs under each attribute. Based on the results, conceptualization and design of a more age-friendly toilet chair were then developed. Lastly, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) was employed for optimal decision-making regarding age-friendly toilet chair solutions, with the aim of optimizing the best age-friendly toilet chair design. The model could scientifically guide designers' decisions in the process of developing age-friendly products, assisting in the rapid and accurate acquisition of a vast amount of elderly user needs and the rational analysis of the importance of these needs. This study may also provide reference ideas for designing similar age-friendly products. Additionally, it can serve as an academic paradigm and a pathway for related research.