At UCLA, academic technology teams partnered with the Teaching and Learning Center to analyze instructor user stories on media use within the Canvas LMS. With awarded OpenAI licenses, the teams leveraged AI to organize and code interview data, uncovering key insights into how media enhances lectures, assessments, student projects, and active learning. Through strategic prompt engineering, raw interviews were transformed into actionable themes. After AI efficiently sorted and organized the data, human insight was used to analyze patterns and trends, understand key points, and help shape a strategic vision for campus-wide use of streaming media. Beyond this initiative, the AI-driven approach developed for this initiative can be used to code and interpret qualitative data, and will serve as a model for refining strategies across other academic technology tools.