The insights from this study on Sample Design Engineering (SDE) can be extended to other complex downstream tasks by following a systematic approach to enhancing LLMs' post-tuning performance through refining input, output, and reasoning designs. By categorizing sample design options into these three aspects and conducting experiments to assess their impact, researchers can apply similar methodologies to different tasks. For example, tasks in the fields of healthcare, finance, or legal domains could benefit from tailored SDE strategies to improve LLMs' performance in specific applications. By identifying effective design options and integrating them into a cohesive strategy, researchers can enhance LLMs' adaptability and accuracy across a wide range of tasks.