Key Feature 1
AI location extractor
This feature makes process of switching between apps to bookmark places much faster.
Key Feature 2
Proximity alerts
Proximity alerts allow users to be reminded about locations they saved in Postcard — which leads to increased likelihood to visit.
Key Feature 3
Memory Saver
Users can log locations they've been to and sort them by category for later visits.
Initial Observation
Oftentimes, users of social media save thousands of posts — bookmarking recipes never cooked, screenshotting outfits never worn, saving workout videos never tried. Over time, these posts are never revisited and forever lost. leading to lost opportunities.
Narrowing Down
Compared to other types of content (fashion, cooking, lifestyle), travel-related content carried higher stakes for users which is due to the fact that users tend to have higher emotional investment, greater intent to act, and more frustration when saving/using travel content.
User Interviews
After refining my problem space, I chose to conduct user interviews with fellow peers to gain deeper insight into which aspects of saving and using places to visit posed the greatest challenges.
Problem Statement
How might we make it easier for travelers to go from inspiration to planning, so their saved content turns into real travel decisions?
Goals
Experience Flow Analysis
With users saving content across various platforms, the manual process of consolidating this information into external tools like Google Docs or Apple Maps requires significant time investment.
Final Solution Concept
I created an app that combines travel inspiration from multiple platforms by using AI to extract location data through a simple share button
Refinement
I got the opportunity to test my low-fidelity prototype with 3 people: Zach (22), Ethan (20), and Serena (19)
User Flow
Design System
My Reflections
