Chengchen ZhangApr 3, 2025

In this experiment, I took a step back from AI-generated idea overflow and manually sorted ideas for personalized podcast recommendations. Clustering by theme helped me see hidden patterns—and realize just how much creative framing matters. I tagged four ideas:Taste Twin AI, Podcast Mood Board, “I’m Listening For…” Recommendations from Future You, to explore more possibilities.

https://docs.google.com/document/d/1y0oJmVuHYKsb7V642Pk5JfoYQO-rA8eWX8FcWi9-9xY/edit?tab=t.0

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Chengchen Zhang -Expirment Log18

GD 592 / Project 2 Experiment Log 18 Person Project Team Design Thinking Phase Success Level Date Zhang Experiment Title: (Short, descriptive name.) Manually Categorizing and Evaluating AI-Generated Ideas for Personalized Podcast Recommendations What I Tried ...

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Show threadJulie
@chengchenzhang Really thoughtful follow-up. Love how you shifted from AI generation to manual clustering—it’s such a great reminder that meaning-making takes human effort, even when AI gives us volume. The way you annotated each idea’s value and strategically narrowed the list shows strong synthesis thinking. Also curious about your next step—“Recommendations from Future You” sounds especially rich for storyboarding. Let us know how that unfolds!
Apr 3, 2025 at 8:43pmWeb