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.