Purpose: The "Joint-Art Products" is a combination works of two artists idea. Via the QFD method, we use a digitization way to score idea and emotion. This is a discovery step in product innovation management. Design/methodology/approach: We used the vocabulary image method to analyze the works' characteristics. We used the 500 adjectives to match the description of the works. First, we invited the artist to provide their works as a sample. Then we used semantic analysis method to analyze his works. From the semantic to the new pictures, we used the Semantic Differential Scale and the QFD (Quality Function Deployment) method to create a way to let the artist understand other ideas, especially the possibility of their works. At last, we put the new pictures on the position map to see how the skills, elements and colors affected how each painting had. As a reference, we expected this study to promote the required study staff and artists to improve their work. In order to avoid too many vocabulary words causing the analysis to fail, we selected the adjectives with the following subjects: 1) style elements, 2) joining relationships, 3) detail treatments, 4) materials, 5) color treatments and 6) textures. There are six projects to select and place in each system project. We used the case study method to analyze the artists who have worked in the art field for more than fifteen years and often held exhibitions because the artists had considerable artistic experience. Findings: From the semantic to the production processes, we used the Semantic Differential Scale and the QFD (Quality Function Deployment) method to create a way to let the artist understand other people's ideas, especially the designer and producer. Originality/value: As a reference, this study was expected to promote the required study staff to improve their products. The application of the proposed model is shown in the design industry.