This paper aims to solve the problem of demand caused by vague user appeal expressions and of the complexity of its design decision complexity to adapt to the adaptive product and application service promotion, and the user experience satisfaction is improved to a large extent. This paper proposes an inductive design method for user cluster evaluation drivers with short period of time and high efficiency. First, this essay excavates the needs of the target user cluster from the evaluation information, and combines the TextRank algorithm to describe the text to build up the evaluation index system; furthermore, this thesis makes full use of hesitative fuzzy decision-making algorithm to evaluate the evaluation model (I-HFCJM ), calculate each product evaluation index score function value for sample products, visualization analysis, and guide the product improvement design through existing products. This paper uses the elderly household oxygen generator improvement design as an example, by calculating the comprehensive weight of the improvement plan and the sample product, and sorting, the effectiveness of this method is verified, providing the improved strategy for design and development of the older household oxygen generator and other suitable age production products.