Research on the Diagnosis and Dynamic Intervention of Interaction Design Efficiency Bottlenecks Based on User Experience Metrics

A delayed review tells a design manager that work has stalled, but says little about why. The same difficulty arises with repeated requirement changes and clarification requests from developers after delivery. This paper uses user experience measurement to investigate such constraints during interaction design. Interview material, analyzed through grounded theory, yields four bottleneck categories: cognitive, process-related, collaborative, and tool-related. Observable indicators are assigned to these categories, and constraint theory informs the selection of responses. The resulting MLIE model repeats monitoring, identification, intervention, and evaluation as conditions change. Its application in an internet company's design team covered three intervention rounds. The procedure gives managers a way to examine evidence for a suspected constraint and then assess the response, reducing reliance on experience alone.