Team project · UX case study

ChewChat

A language exchange app for university students. You find a local language buddy, practice speaking in live voice rooms, play AR games together, and post what you learn. A team of four designed it in my graduate program; I led the user research.

The app · The problem · Research · Brand · Testing

The ChewChat concept walkthrough.Watch on YouTube: youtube.com/shorts/ddUpyAzA9Wg

The project

What it is and what I did

A graduate project at Cal State Long Beach (HXDI, 2024), designed by a team of four. I led the user research and worked across the UX and the brand system. The app is one loop: set up a profile, find a local buddy, practice live, play together, and share what you learned.


Role

User research & UX

Tools

Figma

The app

The five-step loop, through one user

Grace is 27, a graduate student from Hawaii whose first language is Hawaiian. She is learning English for academic and social success and struggles to find a platform that is natural, engaging, and affordable. ChewChat walks her through five steps.

01 · Set up profile

Customize a profile with language goals and interests.

02 · Find buddies

Match with native speakers or learners by shared goals, with location for local meetups.

03 · Practice

Real-time conversation through voice channels and 1:1 chat.

04 · AR games

Collaborate in AR Hunt challenges to practice communication and teamwork.

05 · Share on Chew

Post your learning journey and questions to the Chew social feed.

ChewChat how it works, five steps with screens
The full loop: profile, buddies, practice, AR games, and the Chew feed.

The Problem

Where current language apps fall short

Learners have plenty of apps, yet still freeze in a real exchange. Three gaps kept coming up.

Grammar drills, little conversation

Traditional apps focus on grammar and vocabulary, not the messiness of real-life conversation.

No casual practice

Learners lack tools to practice casual, spontaneous talk with real people.

Paywalled

Most language apps are paid or offer only limited free features.

Underneath the app problem is a human one. Research on immigrant families shows how much everyday language carries: most family connection depends on casual language rather than formal proficiency, and shared-language erosion drives identity struggles, emotional strain, and isolation between generations.

70%
of family connection relies on everyday language, not just proficiency
65%
of kids face identity struggles without a shared family language
50%
more emotional issues in kids linked to language loss (NCBI)

Research

What the research found

We looked at national language data, reviewed five apps students already use (HelloTalk, Duolingo, Quizlet, Maum and Hinge), and gathered 27 survey responses and 4 in-depth interviews with international and domestic students at CSULB. Three findings shaped the product.

Motivation
Keep them engaged

Users prefer gamified features and progress tracking to stay motivated over time.

Real-time
Talk, don't drill

They value live conversation with native speakers for authentic, real interaction.

Trust
Avoid misuse

Frustration rises when apps feel like dating platforms instead of learning tools.

Four personas

The research turned into four personas: an international student who is not yet fluent, one who is fluent, and two domestic students. All four want a low-pressure way to actually talk.

Four ChewChat personas: Emily Chen, Allen Park, Jeshurun Bineh, Alexander
Persona profiles: Emily Chen, Allen Park, Jeshurun Bineh, and Alexander.

Key findings

Seven overall key findings from the survey and interviews
Seven key findings across motivation, real-time interaction, and language needs.
See the research slidesdata, competitors, survey, journey maps

Language data

US language statistics and immigrant limited-English-proficiency data
Language use in the US, and the share of immigrants facing everyday language barriers.
Shared language erosion and its impacts on immigrant families
Shared language erosion: cultural disconnect, youth impact, and acculturation stress.

Our passions and motivations

Four commitments shaped the direction: raise the literacy rate, build strong connections, develop diverse settings for crucial conversations, and keep learning stress-free for introverts and social butterflies alike.

ChewChat passions and motivations, four themes
The four motivations behind ChewChat.

Competitor review

We reviewed the tools students already use, split across learning and social connection: HelloTalk, Duolingo, Quizlet, Maum, and Hinge. Each solves part of the problem and misses another, whether that is real interaction, a sense of true proficiency, or a safe, non-dating space to meet locals.

Competitor and market research across five language and social apps
Competitor and market research: HelloTalk, Duolingo, Quizlet, Maum, and Hinge.

Survey results

Campus user research survey responses and charts
Campus user research: 27 survey responses and 4 in-depth interviews.

Persona findings and journey maps

Persona profiles key findings
Persona key findings: real-life practice, social connection, gamification, and confidence.
ChewChat user journey maps
Journey mapping across the personas.
User journey map key findings
What the journey maps revealed.

Problems for domestic and international students

We separated the specific problems facing domestic and international students from the common ones they share, from lack of real-life practice to pronunciation, sustaining motivation, and tracking progress.

Specific and common student language problems at CSULB
Specific problems for domestic and international students, and the common ones they share.

Why ChewChat

Why ChewChat, five reasons
Five reasons ChewChat exists.

Brand System

Brand: warm yellow and two mascots

Speaking anxiety was the main barrier, so the brand had to feel friendly and safe: a warm yellow palette and two mascots.

Logo and characters

The name became two mascots. Chew stands for discovery and chewing over ideas; Chat stands for real-time connection. Together they carry the brand through loading screens, tutorials, AR games, and promotions.

ChewChat logo concept, integration, and design process
Logo: concept, integration, and design process.
Chew and Chat characters
The Chew and Chat characters.

Color and iconography

ChewChat yellow brand color palette
A warm yellow palette for positivity and energy.
ChewChat navigation bar icons and home screen
Navigation icons and the home screen.
See the brand story, mood board and type3 slides
ChewChat brand story, mission, vision, and key words
Brand story, mission, vision, and the guiding key words.

Mood board

ChewChat mood board of inspiration
Mood board: playful, gamified, sensory inspiration.

Typography

ChewChat typography, SF Pro
SF Pro: familiar, legible, and modern on mobile, confirmed by research.

Product

From architecture to prototype

The structure grew straight out of the research: a clear information architecture, wireframes for every core flow, and a clickable prototype.

ChewChat information architecture
Information architecture.
ChewChat wireframes
Wireframes for the core flows.
ChewChat prototype screens
The prototype, from onboarding into the product.

Usability Testing

What testing changed

We ran a usability test with a written plan, set tasks, and recruited participants, then turned the feedback into a prioritized list of fixes.

See the test plan1 slide
ChewChat usability test plan dashboard and participants
The usability test plan and participants.

What worked

User-friendly design

Intuitive layout with clear navigation.

Engaging chat

Social-media-inspired rooms, like "Spill the Tea," landed well.

Interactive tools

Voice practice and AR scavenger hunts were praised for teamwork.

Find a buddy

Map-based matching was highly appreciated.

What we changed

The key challenges were clear once we watched people use it: proficiency levels were confusing, voice-practice feedback lacked clarity, location sharing raised privacy concerns, and AR games needed to adapt to different environments. We reprioritized from there.

Test conclusions and prioritized issues
Conclusions and the prioritized list of issues to fix.
Simplify proficiency

Clearer, two-color proficiency indicators.

Clarify voice feedback

Make the purpose and feedback of voice practice obvious.

Ghost Mode

A privacy mode for the map-based Find a Buddy feature.

Global AR

Adapt AR scavenger hunts for diverse, global environments.

Before and after

Before and after iterations: profile, Grace, and Ghost Mode
Before and after: profile clarity, tappable cues, and the privacy Ghost Mode.
Before and after iterations: sign-up flow and proficiency quiz
Before and after: a sign-up-after-home flow and a short proficiency quiz.

Reflection

What I learned, and what I'd test next

Testing showed where the app still felt stressful: proficiency levels were confusing, voice-practice feedback was unclear, and sharing location raised privacy concerns. We answered with two-color proficiency levels, clearer voice feedback, and Ghost Mode for the map. Leading the research on a team, I learned to hand findings to the designers in a form they could build from. Next I would test whether the AR games and live voice rooms actually reduce speaking anxiety compared with a plain video call.