Latte


Latte was created as a mobile-first app to simplify cafe discovery through highly personalized recommendations identified during user research to provide the most effective experience.

The app emerged from a need for more intuitive tools in the cafe discovery space.

Latte was developed as a user-centered tool that improves the cafe discovery process.

Problem To Solve: Cafe discovery is fragmented with recommendations scattered across countless platforms. In this case study, I’ll dive into how Latte fills this gap.

Cafes have historical roots as social hubs.

In 17th-century England, coffee houses known as “Penny Universities,” charged a one-penny entry fee for customers to exchange ideas, read newspapers, and debate politics.

Consumers increasingly seek connection in cafes.

Grand View Research reports the global matcha market was valued at USD 4.3 billion in 2023 and is projected to reach USD 7.43 billion by 2030, exhibiting growing interest in cafe offerings.

Industry leaders like Starbucks are shifting from digital grab-and-go towards redesigned in-store to "reinvigorate the cafe experience" as a third place for community.

Yelp

  • Profile access

  • Personalized experience

Oversaturation kills discovery

Broad databases bury good options in noise from popular chains.

Background

I explored market analysis reports, nonprofit data, and media coverage to identify cultural and behavioral context around cafes and specialty beverages.

The first goal was to build a foundational understanding of both the cafe landscape, the trends in coffee and matcha consumption and gaps in current cafe discovery methods.

I looked at restaurant discovery apps, navigation apps, specialty coffee community apps, etc.

Google Maps

  • Maps, photos and directions

  • Real-time data

FINDING 1

Cafes are prime examples of the “third place.”

Sociologist Ray Oldenburg defined a "third place" as a welcoming space beyond home and work. Beverages serve as “social sacraments” that foster conversation and connection.

Coffee and matcha trends show steady demand.

Roasters

  • Coffee discovery

  • In-depth offerings

FINDING 2

Customization is key

Lack of specific filters and preferences leads to endless scrolling.

Instagram

  • Map-based local search

  • User reviews

FINDING 3

Paywalled personal features

Most specialized features and insights require an in-app purchase.

Primary Research

Environment matters as much as proximity.

People aren’t strictly choosing cafes based on proximity. They’re looking for spaces that reflect the atmosphere they personally enjoy.

Participants were between the ages of mid-20s to 40s and a mix of coffee and matcha drinkers with different cafe discovery habits. Two-thirds lived in New York City and one-third in San Diego, capturing perspectives from two major urban markets with strong cafe cultures.

I conducted surveys and user interviews to validate secondary trends and uncover pain points around cafe discovery, preferences, and social connection.

Clarity matters as much as accuracy.

Users often feel frustrated trying to piece together information from multiple sources in finding a cafe right for them.

FINDING 1

FINDING 2

Research Synthesis

I grouped interview insights into themes using affinity mapping; identifying shared behaviors, frustrations, and opportunities.

Social Jobs

  1. Be seen as someone who supports small businesses

  2. Share discoveries that impress others

DESIGN SOLUTION

AI ambiance summaries: overviews generated from reviews and photos.

HIGHLIGHT CAFES THAT EMBODY AUTHENTICITY, CREATIVITY AND A SENSE OF BELONGING?

DESIGN SOLUTION

Features tab: reflects the cafe’s offerings at a quick glance.

These statements encapsulate user needs and core motivations.

Jobs-to-Be Done

Emotional Jobs

  1. Ease the anxiety of visiting somewhere new

  2. Feel connected to the community

Main Jobs

  1. Explore cafes

  2. Choose locations

Related Jobs

  1. Filter cafes by preference

  2. Compare cafe atmospheres

HELP USERS DISCOVER CAFES THAT ALIGN WITH THEIR PREFERENCES AND INTENTIONS?

How might we…

DESIGN SOLUTION

Profile cards: brings key details and highlights into one centralized place.

HELP USERS BETTER UNDERSTAND A CAFE’S AMBIANCE AND EMPOWER THEM IN THEIR DECISION-MAKING?

User Personas were created to form a deeper understanding of user goals, needs, behaviors and experiences. They represent real people for design decisions.

These insights and synthesis outputs directly informed the ideation, wireframing and high-fidelity design phases that followed.

Ideation

I translated key user needs and jobs-to-be-done into actionable user stories, keeping solutions focused on real goals.

As a…

  • cafe enthusiast

  • local explorer

  • remote worker

I want to…

  • filter the search results

  • discover cafes in my neighborhood

  • view a cafe’s details

So that I can…

  • find cafes that match my tastes

  • feel connected to the community

  • evaluate a cafe and plan a visit

Example: Onboarding user flow

I defined the app’s overall structure and navigation logic, creating sitemaps for hierarchy and user flows for clear task paths.

Information Architecture

Wireflows

Paper Sketches

High-Fidelity Design

I build the visual foundation to bring the brand to life.

Design System

Reliable, warm, comfort, thoughtful, competent, slightly dreamy

The core personality shaped each visual decision to embody a trusted and inviting third place.

Mood Board

Sunlight and open window emphasizes the dreamy and comfort effect

Natural light creates an airy, welcoming mood that feels that feels naturally dreamy.

Soft browns, creamy beige, matcha greens set the palette and tone

Warm yet neutral palette that embodies matcha, coffee, and cafe culture.

Minimal and neutral colors act as the ideal backdrop

Serves as a clean backdrop that keeps the focus on featured cafes.

Low-Fidelity Mockups

Medium-Fidelity Mockups

This is a portion of the high-fidelity designs that formed the clickable prototype used for usability testing, setting the stage for validation and final refinements.

Usability Tests

While completing tasks in the prototype. I guided the users to narrate their thoughts to measure how well the app felt.

Think-Aloud Protocol

“It feels like I’m choosing between the map or the list view.”

QUOTE 2

“I wish I could see both views without one disappearing.”

Toggling between map and list views felt clunky, adding unnecessary friction.

SOLUTION:

Simplify home screen by defaulting to map view with a swipe-up list panel at the bottom.

QUOTE 1

PROBLEM:

Filter management during onboarding needed refinement

SOLUTION:

Added “Skip for now” button for better reassurance

QUOTE 3

“I need both the map and list views to decide where to go.”

Landing page

PROBLEM:

Profile cards had too much information right away, reducing scannability

SOLUTION:

Showed key details upfront and moved secondary info into tabs for better readability

PROBLEM:

High Fidelity Prototype

After gathering insights from low-fidelity testing, I created a high-fidelity prototype using Figma. It incorporated refined UI elements, improved navigation, and interactive flows based on user feedback.

Welcome/Start page

Introducing…

Latte

  • Beverage preferences: users select their usual drink orders establishing core tastes

  • Environmental preferences: helps match users to locations that fit their lifestyle and needs

  • Dietary preferences: Promotes inclusive discovery

  • Permission prompts: reworded for clarity and trust

Onboarding

Optimized to deliver personalized guidance while respecting users’ time.

  • Both the map and list views are visible on the same screen.

  • List view is fixed in the bottom quarter as an overlay; no toggling needed.

Map & List View

  • Users can filter personalized preferences falling in categories including beverages, atmosphere, dietary, and more.

Explore Page

  • Tailored for swift scanning, each card includes the cafe’s address and hours, menu offerings, standout features, social media platforms, contact information, and reviews.

Cafe Profile Cards

Designing Latte taught me how to build for connection, not just usability. By gaining a deeper understanding of the users and the root of their needs, I uncovered the overlooked significance behind a seemingly routine act.

Final Reflection

This project sharpened how I create solutions for modern consumer needs, showing the value and impact of human-centered design.

RayWave Media