In recent years, with social progress, faster pace of life, and increased urban life pressure, sleep issues faced by people of all ages have increasingly attracted widespread attention. With the improvement of people’s awareness of healthy sleep, numerous sleep monitoring and analysis alert apps have emerged on the market. This article proposes a method based on the Analytic Hierarchy Process and the Entropy Weighting Method to explore the iterative design requirements of sleep monitoring and analysis alert apps and construct an evaluation system that includes multiple criteria and elements. By analyzing the dominant weights of various factors in app design through AHP, conducting questionnaire surveys on user groups, analyzing and integrating collected data, calculating the objective weights of factors through the Entropy Weighting Method, and comparing the subjective and objective weights of user requirements using line charts, the results are visualized. Finally, the key requirements and optimization design points of the app are analyzed and determined. This study provides guidance and reference for the iterative design and improvement of sleep monitoring and analysis alert apps.