Community product concept
ConcertConnect
Verification before matching
Research showed concertgoers wanted connection, but safety had to come before every match.
- Role
- Product designer; led research, testing, and presentation
- Timeline
- 6-week product sprint
- Methods
- Surveys, interviews, testing, synthesis
- Tools
- Figma, AI-assisted research

The demand was real. Trust was the blocker.
Our survey found that people shared music taste with close friends, yet often had no one available for a concert. Interviews added the missing context: meeting a stranger felt risky, and users needed proof that a potential companion was real.
AI helped synthesize all 41 responses, draft interview questions, and accelerate competitor research. That left more time for testing and decision-making.

Identity verification moved to the front of onboarding.
The concept changed from a matching-first experience to a trust-first flow. Photo and ID verification happen before personality and music preferences shape recommendations.
Profiles show compatibility, shared taste, and mutual connections. Community spaces sit apart from direct messages so people can build familiarity before committing to one-to-one contact.

Testing removed ambiguity and visual noise.
Seven usability tests exposed confusing navigation icons, an unclear community and direct-message toggle, and gradients that felt overwhelming rather than polished.
We simplified the visual system, clarified navigation, and made the relationship between community and private conversation easier to understand.

The next iteration starts with what I learned.
A live prototype and real-time coordination notifications would be the next steps toward testing this as a product in the context of an actual event.