Wearable Wrapped
MetaOverview
At Meta's 2-day Wearable AI Hackathon in Dec. 2025, I joined with a group of engineers, data scientists and content designers for a project called Wearable Wrapped, a personalized recap experience that transforms smart glasses usage activity into a digestible, meaningful, and delightful celebration moment. I led design for a cross-functional team of engineers, data scientists, and content designers, taking the concept from idea to working prototype in just 2 days.
The project won 1st place among all the contestants and shipped to internal dogfooders within days. The concept later inspired the Growth team's Monthly Highlights, a 50/50 retention experiment reaching over 500,000 public users and now shipped worldwide.
Day 1 — From idea to product direction
As the only designer on the team, I also stepped into a product role by driving alignment on the feature vision, scope, and feasibility with engineering. With only two days to build, getting the team aligned on a focused direction and making the right tradeoffs between user value and technical constraints was critical to delivering a successful demo.
whiteboard alignment on the initial product flow
With the product direction established, I focused on rapidly bringing the vision to life. I used Figma Make, which was fairly new at the time, to quickly translate our whiteboard concepts into early visual explorations. While the tool was still in its early stages and required iteration, it accelerated ideation and gave data scientists tangible concepts to identify the raw data and calculations needed, while enabling engineers to start building the frontend templates.
from whiteboard to early concept with figma make
Day 2 — Refining the PRD and focusing on design craft
After regrouping with the team, we reviewed the available data and realized that not every metric would create a meaningful user story. Some data points, such as low engagement or zero minute milestones, could unintentionally make users feel discouraged rather than celebrated.
We refined our mini PRD to focus on moments that felt genuinely rewarding, prioritizing stories that reflected users' curiosity, exploration, and connection with AI. This helped us determine which insights were worth highlighting and ensured every part of the experience contributed to a positive year end reflection.
evaluating meaningful data for maximum user value
With the product direction defined, I focused on bringing the experience to life through motion and visual design. Since recap experiences rely heavily on pacing and narrative flow, I explored interaction patterns that created a sense of discovery and celebration while remaining achievable within our two day timeline and prototyping constraints.
I explored multiple visual directions and landed on a black & gold theme that reinforced the celebratory feeling of a year end reflection. I experimented with AI beyond interface creation by using Suno, an AI music generation tool, to create a custom soundtrack for the experience. By providing creative direction around the tone, mood, and emotional arc of the recap, I guided the AI to generate music that reinforced the feeling of discovery and celebration. While audio is not necessary for every product experience, it helped transform the recap from a simple data summary into a more memorable and engaging experience.
various visual theme explorations
Outcome — Hackathon winner and ship worldwide
key frames of the final prototype
Our team demoed both the design prototype and a working implementation built with AI-assisted development. Among over 20 projects across the org, our project won 1st place! The most meaningful outcome came after the hackathon: the concept caught the attention of the Growth team, who invested resources to bring the idea to life. It evolved into the Monthly Highlights feature, and started a 50/50 retention experiment reaching over 500,000 public users months after. It's now live to all users around the world.
Winning first place was exciting, but my biggest takeaway was seeing how much AI changed the way a small team could build together. At a time when everyone was starting to experiment with “AI pods”, we got to experience it firsthand, turning an idea into a working product with a small team of makers, in just 2 days. It made me even more excited about the future of product development and the kind of fast, collaborative teams I want to be part of.
final design demo below