
Turning Saved Places Into New Discoveries
A Google Maps add-a-feature project exploring personalized place discovery.
Duration
4 weeks
Role
UX/UI Designer
Year
2026
Scope
User Research / Product Design / Usability Testing
THE OPPORTUNITY
What if Google Maps could turn saved interests into new discoveries?
Finding new places in New York City often means searching through countless options, even for people who already have collections of saved places that reflect their interests.
Google Maps helps people search, save, and navigate. For users who have built up a collection of saved places, those interests could become a starting point for discovering somewhere new.
What if these two experiences could work together?
An existing place-discovery experience
Explore
Saved places that reflect personal interests
You

Kodachaya
4.8
(150) · $30—40 · Korean
Open · Closes 12AM · 316 ft
Midtown South: Trending


📣
Trending on Maps



PROPOSED FEATURE - FOR YOU

For you
TEO Nomad
4.7
(23) · 2.1 mi
Restaurant · $$
Open · Closes 10 PM
Work friendly cafe by day, restaurant by night
Not interested
Save
Why this was recommended
New!
· You often save Korean cafes with spacious
interiors
For you
Entry point
Discovery feed
Recommendation details
RESEARCH & INSIGHTS
People discovered places elsewhere, then turned to Maps to save them.
Qualitative research · 5 user interviews
THE USER
The Maps Collector
An active Google Maps user with a growing collection of saved places.
Motivation
Enjoys exploring the city and finding places that reflect their personal taste.
Frustration
Despite having an established collection of saved places, discovering somewhere new still requires manual searching.
Need
A more intuitive way to discover relevant places based on interests already reflected in their saves.
Places discovered elsewhere become a personal collection in Google Maps
Social Media
Friends
Google Maps
FINDINGS
01
Maps was a personal library, not the starting point
Participants saved places they were interested in and returned to them later.
02
Explore wasn’t part of their discovery habits
Participants rarely used Explore, and some were unaware it existed.
These findings revealed an opportunity to connect how people already use Google Maps with its existing discovery capabilities. Rather than replacing social media as a source of inspiration, I explored how saved places and interests could inform more relevant recommendations within Maps.
ITERATIONS & DECISIONS
For You was hard to find and harder to distinguish.
I initially placed For You within Explore, Google Map’s existing discovery feature. My hypothesis was that personalized recommendations could give users a reason to engage with Explore, while maintaining consistency with the existing product structure. Usability testing challenged that assumption.
EXISTING GOOGLE MAPS EXPLORE


INITIAL FOR YOU CONCEPT


For you

TEO Nomad
4.7
(26)
Restaurant
Open · Closes 6 PM
Similar to places you visit

Love Thy Neighbor
4.3
(80)
Restaurant · $30—90
Closed · Opens 7 PM
New in areas you explore

Pizza 4P’s Brookyln
4.4
(124)
Pizza restaurant · $30—80
Closed · Opens 5 PM
Based on places you visit

Koke
4.3
(142)
Cafe · $10—20
Open · Closes 7 PM
Similar to places you’ve saved
FINDINGS
01
Discoverability
During usability testing, participants needed guidance to navigate to Explore, where For You was located. This reinforced the risk of placing a new feature within an underused part of Maps.
02
Recognition
Some participants interpreted For You as generic or sponsored recommendations rather than a distinct personalized feature.

Explore
You
Contribute
Local vibe
21°
23 AQI
Make plans with
Ask Maps
Things to do this weekend?

Search here
S
Ask Maps
For you
Home
Restaurants
Coffee

Explore
You
Contribute
Local vibe
21°
23 AQI
Make plans with
Ask Maps
Things to do this weekend?

Search here
S
Ask Maps
Home
Restaurants
Coffee
DESIGN REVISIONS
Designing around how people already discovered places.

For you
TEO Nomad
4.7
(23) · 2.1 mi
Restaurant · $$
Open · Closes 10 PM
Work friendly cafe by day, restaurant by night
Not interested
Save
A more visible entry point
I moved For You to the main Maps screen, near the search bar where the participants typically began their searches. Rather than asking user to adopt a new navigation habit, the feature now fits into their existing flow.
Existing Google Maps search
A more recognizable discovery experience
Interviews showed that participants often discovered places through social media, where algorithm-driven recommendations felt personal. I introduced a photo-led, swipeable experience inspired by those familiar browsing patterns, emphasizing imagery that conveyed each place’s atmostphere
FINAL EXPERIENCE
From saved interests to relevant recommendations.
For users who already save places in Google Maps, For You turns those existing interests into personalized recommendations they can browse, understand, and save. The photo-led feed lets users explore places, dismiss suggestions, or learn why a place was recommended.

Pizza 4P’s Brooklyn
4.4
(129) · 3.4 mi
Pizza Restaurant · $$$
Closed · Opens 5 PM
Japanese-founded Italian restaurant
Not interested
Save
For you
Making recommendations understandable
Each recommendation includes a “Why this was recommended” explanation tied to saved places and interests. By making the connection visible, I aimed to help users understand why a place was relevant to them rather than mistake it for a generic suggestion.

REFLECTION
Personalization only matters when people recognize it.
This project taught me that relevance alone isn't enough. People need to encounter a feature, recognize its purpose, and understand why its recommendations matter.
Throughout the project, I navigated several interconnected challenges: discoverability, recognition, and trust. User interviews helped me understand existing behaviors, while usability testing challenged my initial decision to prioritize consistency with Google Maps. I learned that working within an established product doesn't always mean following its existing patterns, especially when those patterns aren't serving users.
The revised design hasn't been retested, and its manually curated recommendations would need further evaluation. I'd want to understand whether users recognize the personalization and whether the feature could become a meaningful part of their discovery habits.
AI in my process
I used ChatGPT to help organize information, synthesize notes, and refine how I communicate my work. The conceptual direction and design decisions were developed and evaluated independently.