Designed a podcast product concept that allows listeners to leave timestamped comments on episodes, reducing the friction of capturing ideas while listening and generating behavioral data about which moments in an episode resonate most.
As someone who listens to podcasts frequently, I often find myself having ideas or reflections while listening. Writing them down usually meant pausing the podcast, finding paper or another device, and interrupting the listening experience.
This friction suggested a product opportunity. I began exploring the idea of allowing users to leave comments at specific timestamps in a podcast episode that could later be bookmarked or revisited.
I validated the concept by speaking with several friends who were also heavy podcast listeners and confirmed that the frustration I experienced was widely shared. From there, I explored interaction patterns that would let users leave a note at a specific timestamp without pausing or leaving the podcast player. I prototyped the feature in Figma and considered how the interface could remain lightweight while still making comments easy to access later.
The prototype demonstrated that timestamped commenting could be integrated naturally into a podcast listening interface. Beyond improving user experience, the feature would generate a rich behavioral dataset showing which moments in an episode resonate most with listeners, giving creators and platforms valuable insight into content performance.