Case Study — 2025
Eatxplore
Redesigning a food discovery app to help curious eaters find local restaurants they'll actually love — not the same five places everyone already knows.
- Role
- Lead UX/UI Designer
- Timeline
- 14 weeks · Apr–Jul 2025
- Tools
- Figma, FigJam, Maze, Notion
- Client
- Eatxplore Inc.
- Team
- 1 PM, 2 Engineers, 1 Designer
- Platform
- iOS & Android
The Problem
Eatxplore's existing app treated every restaurant the same — a flat, alphabetized list with no sense of personality or place.
Despite a growing database of over 12,000 restaurants across three cities, retention dropped sharply after the first session. Internal data showed a 62% drop-off between install and second visit. The brief was clear: rebuild discovery around trust, context, and delight.
Research & Insights
14 in-depth interviews and a diary study with 22 participants over two weeks.
-
i.
People don't search for food — they search for moods.
"Cozy date night," "quick lunch near work" surfaced repeatedly. Cuisine type came up surprisingly rarely.
-
ii.
Reviews feel like noise. Curation feels like a gift.
Lists made by a real person with taste consistently beat aggregated star ratings.
-
iii.
The map is the menu.
"Is this on my walk home?" matters more than "Is this rated 4.6 or 4.7?"
The Solution
A mood-first discovery model, anchored by human-curated lists and a map that responds to context.
Mood-based browse
Users land on a feed of "moments" — date night, working lunch — instead of cuisines.
Editor lists
Every list is authored by a real local with a face and a voice. No anonymous aggregations.
Contextual map
The map reshapes around your route, your time of day, and your saved places.
Results
Three months after launch, the redesign moved every metric we cared about.
Increase in 7-day retention
Growth in saved places per session
App Store rating (up from 3.1)