Research and Application of APP Service Design Optimization Based on Multilevel Psychological Needs Analysis

Abstract

As the multi-level psychological needs of the modern crowd escalate in speed, how to accurately match the multi-level psychological needs of users becomes the focus of APP service design optimization. Firstly, analyze the characteristics of target users through user research to realize the acquisition of user needs, and use KANO model to analyze the importance of the needs of the dominant group of multi-level psychological needs analysis to realize the classification of users' needs. Then, the QFD quality house model is constructed to determine the priority of multi-level psychological needs analysis APP design requirements. Finally, SERVQUAL service quality model is introduced to realize the effectiveness verification of the optimization work of multilevel psychological needs analysis APP service design. The KANO model classifies user requirements into four categories: essential, desired, fascinating and undifferentiated, and the six key indicators identified by the QFD quality house with a stronger order of importance are font size, life application, picture size, anti-fraud, voice input and ease of operation. The comprehensive score of optimization of APP service design for multi-level psychological needs analysis obtained based on SERVQUAL service quality model is 0.759, which meets the user's expectations and provides methodological support for digital psychological services.