The work aims to propose a value-focused analysis and design methodology based on big data, to help designers and businesses address the effective handling and application of big data. Through the focus on business value, product value and user value, the design value and product definition were anchored, and a "pop-up" product that was a market hit and a user favorite was proposed. In this work, literature research and case study were mainly adopted to study the value focus and value transfer process obtained by big data cleaning, and propose a pre-design cycle and design cycle product design method based on big data value focus. Based on the value focus of big data as a theoretical basis, the feasible and practical process of product design from big data analysis to value focus and then to design solutions, i.e., big data cleaning, big data sorting and big data decision making was realized to uncover business value, product value and user value and the corresponding value intervals. A design process model from big data cleaning to value focus (value and value intervals) and product definitions and concept prototypes was proposed. Generating design values and product definitions through big data value focus, returning to the essence of the design problem and value problem, is the way and design method to achieve explosive product designs that are fully market-oriented. Big data value focused product design is a well-structured, actionable, complete design cycle design approach that enables the transfer of complete value through an effective design process.