In this paper, the challenge of identifying high-value applications of quantum computing is examined. Although quantum computing holds enormous potential, it requires significant investments and development efforts. Therefore, it is crucial to define precise applications that can guide its development for an efficient industrialization process. To accomplish this goal, a methodology that systematically identifies and evaluates potential applications of quantum is developed. The methodology is designed for a strong alignment between tasks and technology, identification of problem and solution types, a systematic process for identifying problems, and a focus on socioeconomic challenges. It is structured according to the TRIZ methodology and comprises five submodels to determine socioeconomic applications for quantum computing
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