To solve the problem of the fuzzy and dynamics of requirement caused by users’ cognitive bias, a dynamic requirement and priority capture method based on user scenarios is proposed, aiming at effectively improving user experience. The method consists of the following steps: Firstly, users with similar characteristics are filtered to form a user cluster, then obtain the user’s product experience in different usage scenarios and acquire preliminary requirements by using service design methods. Secondly, the requirement path model tree will be designed and the requirement path matrix will be constructed through the evaluation of the user cluster. Then the pathfinder algorithm will be used to calculate the required correlation of user clusters and prioritize the requirements. Finally, the direction of the product design will be provided. Taking the design of the intelligent office chair as an example, the effectiveness of the method is verified by evaluating the satisfaction of user experience.

针对用户认知偏差导致需求的模糊性和动态性问题，提出了一种基于用户场景的动态需求和优先级捕获方法，旨在有效提升用户体验。该方法包括以下步骤：首先过滤具有相似特征的用户形成用户集群，然后通过服务设计方法获取用户在不同使用场景下的产品体验和初步需求。其次，设计需求路径模型树，通过对用户聚类的评价构建需求路径矩阵。然后将使用探路者算法来计算用户集群所需的相关性并确定需求的优先级。最后，将提供产品设计的方向。