Integrating Causal Layered Analysis into Design: Enhancing User Research for Deeper Insights

Abstract

In the process of enterprise product innovation, user input plays a crucial role. This paper aims to better uncover deep-seated user needs by introducing the Causal Layered User Research Framework (CLURF), derived from the cognitive framework and hierarchical analysis of the futures studies theory, Causal Layered Analysis (CLA). This methodology categorizes user input into four layers: the Observation Layer, Influenced Discourse Layer, Cultural Concept Layer, and Deep Self Layer, providing structural guidance for semi-structured interviews and subsequent data organization. The research, conducted with the support of Shuhua Sports Co., Ltd., utilized CLURF and Grounded Theory to successfully capture critical user needs. The approach contributes significantly to understanding user behavior and motivations, uncovering deep-seated user needs, and exploring future trends in home treadmill usage. It offers high-quality design inputs for the development of new products in enterprises. This paper introduces CLURF as an innovative research tool, applying CLA to uncover deep user needs, providing design practitioners with a novel approach to user research and offering insights for the expansion of futures studies methodologies in the design domain.

Keywords: Causal Layered Analysis, Design Theory, User Research Methods, Futurology

DOI: 10.54941/ahfe1005122