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findit

lost & found mobile app

a community-driven mobile app that helps college students recover misplaced items through structured posting, tagging, and verification.

3 weeks👩‍💻 UX Design • Research • Wireframing • Testing🛠 Figma
findit preview

Overview

FindIt is a mobile app designed to help college students locate misplaced items more efficiently through a centralized, campus-specific platform.

Problem

Existing methods like Facebook groups and physical lost and founds are fragmented, unorganized, and unreliable, making it difficult for students to recover lost items.

Research & interview insights

  • Facebook groups are cluttered and posts get buried quickly
  • Lost and found locations are fragmented and operate on limited hours
  • There is no reliable way to verify item ownership
  • Students want a faster, more structured recovery process

User persona

Personas helped focus design decisions around student pain points, stress levels, and recovery goals, ensuring a seamless and intuitive experience.

FindIt user persona
Primary persona used to guide feature and UX decisions.

Wireframing & iteration

I created low-fidelity wireframes focused on simplicity and clarity, then refined the designs through early-stage user feedback to address usability issues.

FindIt early sketches and low-fidelity wireframes
Early sketches exploring layout and core flows.

Solution

  • Centralized platform for campus-specific lost and found posts
  • Single ‘Report’ entry point to reduce home screen clutter
  • Tags to automatically match lost and found items
  • ‘Found’ and ‘Claim’ actions to streamline item recovery
FindIt design decisions and feedback annotations
Key UI decisions: simplified reporting, tags for matching, and quick claim actions.

Final screens

The final design supports fast reporting, browsing the community feed, messaging, and a lightweight profile experience.

FindIt final UI screens
High-fidelity screens showing the core experience end-to-end.

Reflection

This project reinforced the importance of continuous user testing and designing solutions grounded in real user behaviors and constraints.