The work aims to investigates the product's user group experience design strategy from the perspective of user needs to enhance the user group experience of ergonomic chairs. Firstly, based on the behavioral traits, operational habits, and emotional shifts observed in white collar individuals interacting with a particular product, Don Norman's three-tiered theory was integrated to determine the critical evaluation metrics for user group experience at the desire, behavioral, and reactive levels. Secondly, a "Probability Density Ordered Weighting (PDOW)" method was proposed to construct a comprehensive evaluation model of the product user group experience to overcoming the uncertainty of user experience tests and explore the relationship between user group evaluation results and evaluation metrics. Finally, the user experience experiment for ergonomic chair products targeted at white collar professionals was designed to identify the optimal solution for ergonomic chairs. The modeling results showed that the application of the comprehensive evaluation model could better took into account the appearance, interaction, and emotional preferences of the white collars, and yield promising results in designing ergonomic chairs that offer better user experience. In conclusion, the "Probability Density Ordered Weighting (PDOW)" method is effective in reducing uncertainty during user experience testing and accurately deriving comprehensive evaluation results for the product. Additionally, its low cost, convenience, and efficiency make it a useful tool for understanding user preferences in the product design process. This approach offers a novel solution for optimizing user group experience during product design.