In our daily life, the data is ubiquitous. With the advent of the data age, people's lives are closely related to it. Therefore, it is important to use these data for analysis to get effective conclusions. Through the data analysis method, we can analyze the results to do effective decisions-making and applications, more applicable to the interface design. Brain-computer interface (BCI) provides the communicated interface between brain and machines such as computers. It's a technique that the users allowed to interact directly with the machine by using brainwave. The technology includes brainwave (EEG) acquisition, feature extraction and translation algorithm. The researches of BCIs since the 1970s began, the most successful case was Jacques Vidal used brainwave signals to stimulate the visual response and controlled the cursor to take the maze of BCI. Nowadays, it has begun to use in medical aids, and improve the inconvenient situation in daily life. However, the applications in “personalized” BCIs are not popular in our life and less of a data validation to support the user-centric design process to provide. Therefore, this study firstly took the mobile application program of the Lego robot designed by the function as an example.Then used the data of the initial test which was assisted by the Data Analysis Method (DAM). The decision made by DAM was to redesign a data-oriented demonstration and user-centered design process (DAUCD). The Lego robot was integrated hardware and software to develop the learnable and personalized BCI. For usability test, we applied the Lego robots to demonstrate the redesign prototype to conduct the usability test. This study not only designed a personalized BCI but also developed a new data-oriented UCD design process. The brand-new method with DAUCD improved the original design and enhanced the usability test. We expect that this personalized BCI will be applied in medical treatments, businesses and livelihood, promoting the welfare of human being.