Trope Finder
Over four weeks, our team conducted competitive analyses of platforms like Goodreads and StoryGraph and interviewed frequent readers. We identified a shared frustration: existing platforms recommend books based on algorithms, not nuanced story elements or emotional impact. We followed the lean UX process.
TropeFinder is a web-based platform that allows readers to discover, explore, and filter books based on story tropes, themes, and emotional tones. The project aimed to simplify the book discovery experience by focusing on how readers emotionally connect with stories rather than just by genre or author.
Project Date: June 20th-July-28th
Location: Kennesaw State University
Dahlia Gilmore is the persona my team and I created. She is a 26-year-old avid reader who values discovering new stories through shared emotional experiences. They often feel overwhelmed by recommendation engines that lack personal connection and context.