Investigation on Research Model of Product Design Integrated with Big Data Technology

Abstract

Design research is an important part of design and the basis of product development. With the Internet entering web 2.0 age, collecting user feedback on the network platform has become an important channel for enterprises to understand user needs and grasp market trends, so big data research came into being. By comparing big data research with traditional research methods, it can be found that the existing design research methods have the defect of limited data, while big data research methods have the defect of infinite data. For enterprises, in the context of the rapid growth of information, a set of product design research framework based on big data is needed to improve operation efficiency and research quality. Using the literature analysis method and combined with the current situation of the industry, this paper first analyzed the applicability of big data technology in product design research. Then, by means of expert interview and questionnaire survey, this paper explored the problems and needs encountered by designers in design research, and then summarized the classification of research information that needed to be obtained in the current product design research process. By analyzing the defects of traditional research methods, the entry point for the integration of big data technology into the traditional research process was found, and the design research model in line with the digital age was established. The model aims to help designers narrow the cognitive gap with consumers and effectively improve the quality of product design decisions.