Near Yangon app
Are you on the hunt for the best coffee shops in Yangon? Look no further than Near Yangon, your personal guide to the city's coffee scene. This app makes it easy to find hidden gems and popular spots alike, whether you're a local searching for a new favorite hangout or a visitor eager to explore Yangon's vibrant cafe culture. With Near Yangon, you get detailed maps, real user reviews, and tailored recommendations based on your preferences.
PROJECT TYPE
App Design, Case Study
ROLE
UI&UX Designer





Mapping the Best Coffee Shops in Yangon with Near Yangon
Near Yangon app
Project Overview
Welcome to the case study presentation of the Near Yangon app. Near Yangon is a mobile application designed to help users discover and navigate to the best coffee shops in Yangon. This app is tailored for those who enjoy exploring new places, relaxing environments, and vibrant social scenes.
Problem
Discovering new coffee shops often leads to disappointment due to inconsistent quality and unreliable reviews. Busy schedules make it difficult to find accurate, up-to-date information and navigate effectively. With too many choices and unreliable Wi-Fi, users struggle to find suitable spots to relax and work. Near Yangon addresses these issues by providing reliable recommendations, comprehensive details, and easy navigation.
Solution
The Near Yangon app addresses these challenges by offering reliable, curated recommendations for coffee shops , ensuring consistent quality. It provides comprehensive, up-to-date information about each location, including amenities, ambiance, and Wi-Fi reliability. With user-friendly navigation features, the app helps users efficiently find the best spots to relax, work, and socialize, simplifying the decision-making process.
Empathize
User Reaches
User Interviews
Define
User persona
User Journey
Ideate
Empathize mapping
Information Architecture
User Follow
Design
Wireframe
Hi-Fi Design
Prototype
Testing
Feedbacks
Redesigns
Future Concept
Design Process
The design process for the Near Yangon app involved several key stages to ensure a user-centered approach. We began with user research, including interviews and surveys, to understand the needs and pain points of our target audience. Next, we developed user personas to guide our design decisions. We then created wireframes to outline the app’s structure and low-fidelity prototypes for initial user testing. Based on feedback, we iterated and produced high-fidelity mockups using a minimalist design with a light gray background, dark gray text, and vibrant accents. Finally, we built an interactive prototype to simulate the user experience and gather final feedback before development.
Design Timeline
Empathize
Week 1
Finding a problem and solution , Conducted interviews and surveys to gather insights, identified key pain points and needs.
Ideate
Week 1
Brainstormed potential solutions to address the identified problems, Generated a variety of ideas through sketching and mind mapping, Selected the most promising ideas for further development.
Design
Week 2
Created low-fidelity wireframes to outline the app’s structure and functionality, Developed high-fidelity mockups using a minimalist color scheme (light gray background, dark gray text, vibrant accents),Built an interactive prototype to simulate the user experience.
Testing
Week 1
Conducted usability testing with the interactive prototype, Collected user feedback to identify areas for improvement, Iterated on the design based on testing results to enhance usability and user satisfaction.
Define
Week 1
Analyzed the data collected during the empathize phase, Developed user personas to represent the target audience, Created a clear problem statement based on user insights.
Target Audience
The Near Yangon app caters to young professionals, students, expats, tourists, remote workers, and coffee enthusiasts who enjoy exploring new coffee shops in Yangon. These users seek reliable recommendations and comprehensive information to find the best spots for relaxing, working, and socializing. By addressing their need for accurate details and easy navigation, Near Yangon enhances their experiences, helping them discover and enjoy the city's vibrant café and bar scene.





User Research
To ensure Near Yangon meets user needs, we conducted extensive user research, including interviews and surveys with young professionals, students, expats, tourists, and remote workers. These sessions revealed key pain points, such as inconsistent quality of coffee shops , unreliable reviews, and difficulties in finding accurate information and navigating to new places. Insights from this research guided the design process, ensuring the app addresses the real challenges faced by our target audience, providing reliable recommendations and comprehensive details to enhance their experience in Yangon.
I need a good coffee shop nearby.
Says
Do
Feels
Thinks
User
I prefer bars with high ratings.
Empathy Map
Search for nearby coffee shops or bars.
Excited to explore new places.
Concerned about quality and ambiance.
Save favorite places for future visits.
I hope it’s not too crowded.
Is this place worth visiting?
Yangon
Teacher
24 years old
Age
Name

Location
Job
Aung Moe Zaw Oo


Frustrations
Coffee shops often don't match their reviews. It’s disappointing and wastes my time.
Finding detailed, up-to-date information about coffee shops is a challenge.






Personality Traits
Outgoing
Curious
Tech-Savvy
Organized
User Persona
Aung is a dedicated teacher who works at a local high school in Yangon. He enjoys exploring the city's coffee shops to relax and work outside his home and school.
Goals and Motivations
Background
Find new coffee shops to relax and work.
Discover quiet, comfortable, and aesthetically pleasing places.
Awareness
Consideration
Decision
Action
Retention
Aung hears about the "Near Yangon" app from a friend who recommends it for finding great coffee shops
Word of mouth, social media, App Store, Google Play Store.
Curious and excited to try the app.
😊
Curious
Aung decides to download the app and checks the reviews and ratings.
App Store, Google Play Store, app reviews, social media ads.
Hopeful and slightly cautious based on reviews.
🙂
Hopeful
Aung downloads the app and opens it for the first time.
App download, onboarding screens, initial setup.
Welcomed by a clean and intuitive onboarding process, feels reassured.
😌
Reassured
Home screen, Discover screen, Filters, Coffee Shop details, Favorites.
Finds the app easy to navigate and appreciates the detailed information.
😃
Satisfied
Navigates to the Home screen and sees featured coffee shops.
Taps on the "Discover" tab and enters his location.
Uses filters to narrow down the search to nearby coffee shops with high ratings.
Selects a coffee shop from the list and views its details.
Saves it to favorites.
User Action
Touchpoints
Experience
Emotion
Visits the coffee shop and enjoys the experience.
Later, opens the app again to explore more places and manage his favorites.
App reuse, Favorites screen, additional searches.
Satisfied with the app’s performance and usefulness, likely to recommend it to others.
😀
Happy
User Journey
In order to identify the problem, the key points of the process had to be pinpoints . User journey map is to better understand the pain points, challenges, mindset which the user may encounter
Open App
Near Yangon
Login
Home
Discover
Favorite
Profile
Register
Onboarding
Recommend
Cafe
Search
Notification
Search
See favorite
lists
Your profile
Favorites
App sittings
Security & Privacy
Support
About app
Logout
Terms and conditions
Newly add
coffee shops lists
Notification
Filter
Filter
results
Coffee shop
lists
Trending
View details
View details
Remove favorite
Save to favorite
View details
Save to favorite
Forget
password
OTP
verification
New password
New password
update
Password
User name
Password
User Follow
Information Architecture of Near Yangon
List of favorite Coffee shop
Favorite
List of favorite Coffee shop
with map
Home
Featured coffee shop
Recommend coffee shops
Recent searches
Search Bar
Filter Option
List of Nearby Places
Discover
Wireframe

Color Palette
#FF6B6B
#2C3E50
#F0F0F0
Profile
Profile
Favorites
Favorites
Home
Home
Discover
Discover
Home
Discover
Favorites
Profile
About
Menu
Reviews
About
Menu
Reviews
About
Menu
Reviews
Typography
Aa1
Typeface
Primary Color: #2C3E50 (Dark Gray) - Used for main text and primary buttons.
Accent Color: #FF6B6B (Vibrant Red) - Used for highlights, active states, and important icons.
Background Color: #F0F0F0 (Light Gray) - Used for app backgrounds and container elements.
Roboto
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1 2 3 3 5 4 7
Regular
Medium
Semi Bold
Bold
12 . 14
14 .16
16 . 20 . 24. 32 . 54
16 . 24
Iconography
Style: Minimalist and line-based icons
Source: Figma Community Icon Library (recommend using Material Icons for consistency)
Design System







Thank You
For Watching
Your feedbacks are highly appreciate.