How to use domestic large models for product design and user experience optimization?

When enterprises need to improve product design efficiency and optimize user experience, domestic large models can empower the entire process through demand insight, prototype generation, feedback analysis and other links, helping to accurately match user needs and iterate products. Demand insight stage: Use large models to analyze unstructured information such as user behavior data and social media comments, generate structured demand reports, and identify potential pain points (such as "young users' preference for interface simplicity" or "the need for operation guidance among middle-aged and elderly groups"). Prototype design link: Input product function descriptions or target user characteristics, and the large model can quickly generate UI/UX sketches, interaction logic suggestions or function module combination schemes, shortening the design cycle. User feedback processing: Automatically classify and organize user reviews, extract high-frequency issues (such as "complicated payment process" and "inaccurate search results"), and assist the team in positioning optimization priorities. It is recommended to select an adapted domestic large model (such as the type focusing on data analysis or creative generation) in combination with specific business scenarios, and verify the optimization effect through small-scale user testing to gradually iterate and improve product experience.