Drawing of Sumin encircled.

Sumin Hyun

Pucca

Empowered users to uncover food triggers through personalized meal insights and digestion tracking.

UX Research
Usability Testing
Wellness

Your gut's new best friend!

A smartphone displaying the Pucca app in use.A companion device for the Pucca app.

OVERVIEW

Digestive discomfort is a common experience, yet identifying its underlying causes can be difficult. Many people rely on trial and error because existing tracking methods are time consuming and require extensive manual logging. This creates a disconnect between what people eat and how they understand their digestive health.

Team

  • 2 product designers
  • 2 UX designers

My Role

  • UX Designer

Timeline

  • 3 Months

Tools

  • Figma
  • Fusion 360

The Problem

People experiencing bloating often struggle to identify food triggers because existing solutions rely heavily on manual tracking and present health information in ways that are difficult to interpret

The Goal

How might we simplify meal tracking while helping users better understand the relationship between their meals and digestive comfort?

RESEARCH

Our Research Goals

  • 01Understand frequency & severity
  • 02Identify triggers & patterns
  • 03Assess impact on daily life
  • 04Uncover unmet needs & opportunities

Quantitative Data - Survey

We developed a 15-question survey combining quantitative and qualitative questions to better understand users' bloating experiences, behaviors, and unmet needs.

21Participants
18-28Age Range
9Male
12Female

Key Findings

71%

Experience bloating at least a few times a week

Bloating is recurring, suggesting a need for ongoing support.

95%

Experience bloating after meals

Meals became a key area for design exploration.

52% / 43%

Report greasy foods / dairy as common triggers

Users need help connecting specific foods with how they feel.

80%+

Open to trying a solution that detects triggers and reduces bloating

Participants showed interest in new approaches to managing bloating.

The survey confirmed that bloating is a frequent issue affecting daily life and highlighted opportunities to improve awareness, identify triggers, and reduce manual tracking.

Qualitative Data - Interviews

While the survey identified broad trends, interviews helped uncover personal experiences, emotions, and behaviors that quantitative data could not capture.

Rachel

Age 22

Female

UNCERTAINTY

“I wish I knew what specifically caused it... and what I could do that wouldn’t make me feel constantly bloated all day.”

Users struggle to identify the specific causes of their bloating and want greater clarity around their triggers.

Laura

Age 23

Female

PERSONALIZATION

“It's kind of different for everybody how their body reacts to certain types of food.”

Bloating triggers vary between individuals, highlighting the need for personalized rather than one-size-fits-all guidance.

Brandon

Age 22

Male

TRIAL & ERROR

“I’ll fix some habits, but then I’ll still notice that I’m still becoming bloated often.”

Changing habits without understanding underlying patterns can leave users uncertain about what is actually helping.

Aanjisnu

Age 21

Female

KNOWLEDGE GAP

“I just know general guidelines... I think my knowledge ends there.”

Users may understand general digestive advice but lack the personalized insights needed to make informed decisions.

Research Synthesis - Affinity Map

After conducting interviews, we organized

50+Notes
6Categories

This process provided insights that informed design decisions and guided our future design directions.

Click to enlarge

Research Synthesis - Affinity Map

We synthesized our research into six opportunity areas and prioritized the three with the greatest potential for design exploration.

  • 01Symptom Tracking
  • 02Food Insights
  • 03Fast Relief
  • 04Personalized Recommendations
  • 05Health Warning
  • 06Habit Building

DEFINE

Time to Debloat

We synthesized our research into three key opportunity areas and translated each into design implications, guiding three distinct concepts for addressing bloating.

Fast Relief

Users wanted quick ways to reduce discomfort when bloating occurs.

Handheld Massager

A portable abdominal massager using heat and gentle massage for targeted, on demand relief.

Digital Features
  • User based personalization
  • Guided Tutorial
  • Usage Tracking
  • Pattern Recognition
Physical Features
  • Heart Relief
  • Portable
  • Vibration Massage
  • Intensity Modes
Fast Relief + Food Insights

Bloating often occurred after meals, while users struggled to identify specific food triggers.

Smart Plate Device
Selected Concept

A connected plate that identifies and weighs food, helping users connect their meals with digestive patterns.

Digital Features
  • Food Scanning
  • Trigger Identification
  • Portion Tracking
  • Digestion Tracking
  • Meal Logging
Physical Features
  • Portion Measurement
  • Wireless
  • Food Recognition Support
  • Weight Sensing
Fast Relief + Personalized Suggestions

Symptoms and areas of discomfort varied, highlighting the need for more personalized support.

Bloating Relief Wearable Device

A wearable that provides targeted relief based on where users identify discomfort through the companion app.

Digital Features
  • Discomfort Rating
  • Body-Map Input
  • User Based Personalization
  • Pain Location Logging
Physical Features
  • Heat Relief
  • Adjustable Fit
  • Vibration Massage
  • Intensity Modes

The First Solution isn’t always the best...

While the smart plate addressed our research goals, evaluating real world use cases revealed an opportunity to create a more portable and practical solution.

Personas

Our personas frequently ate away from home, making a fixed smart plate impractical.

Real World Scenario

Using a plate sized device at restaurants or cafés could feel inconvenient and conspicuous.

Research Insights

Users valued convenient, low effort ways to understand triggers.

Current Concept

Smart Plate + Companion App

A connected plate that identifies and weighs meals to help users track food and uncover potential bloating patterns.

    Limitations
  • Bulky to carry between meals
  • Could draw unwanted attention in public
  • Requires users to eat from or with the device

Final Concept

Smart Scanner + Companion App

A pocket-sized food scanner that captures meal information on the go while connecting users to personalized digestive insights through the companion app.

    Benefits
  • Portable and discreet
  • Works across all dining environments
  • Fits more naturally into existing routines
  • Makes consistent tracking more practical

PROTOTYPE

How It All Connects

We mapped the end-to-end journey to visualize how users move between the physical scanner and companion app throughout the experience.

Onboarding/Pairing

Meal Scanning

Insights/Feedback

Logging/Tracking

Purchase Pucca Scanner + Install app

Power on Pucca Scanner

Pair device

Scan Meal

Create Profile

Pick pet & digestive goal

Device pairing

Edit Meal Content

Meal insights + digestion score

Post-meal survey + notes

Meal insights + digestion score

View past meals in food library

Low Fidelity

We translated the user flow into low-fidelity wireframes to establish the app’s structure, navigation, and core interactions before refining the visual design.

pucca - lofi prototype

Low Fidelity Prototype

USER TESTING

Putting Pucca to the Test

We evaluated the prototype with users to understand how easily they could complete key tasks, interpret digestive insights, and navigate the overall experience.

Testing Goals

  • 01

    Workflow Clarity

    Evaluate whether users could intuitively navigate Pucca’s core experience.

  • 02

    Task Efficiency

    Identify friction, errors, or hesitation while completing key tasks.

  • 03

    Insight Comprehension

    Understand whether users could interpret meal information and digestion feedback.

screens tested

Screens Tested

Testing Metrics

100%

Task Completion

All tasks were completed successfully

25%

Task Confusion

1/4 Users experienced confusion when interpreting the Digestion Score/insight

<1 min

Avg Task Time

Tasks were consistently completed in under a minute.

ITERATION

Most Friction - Understanding Digestive Insights

Users wanted clearer, more specific information about how their meal could affect bloating. Fiber was missing, some information lacked hierarchy, and the overall screen was difficult to scan quickly.

Before

Picture of the intial design before revisions

After

Picture of the intial design before revisions

Improvements

Color & Heirarchy

Strengthened color + hierarchy to distinguish key information at a glance.

Fiber

Added fiber to provide more digestion relevant nutritional information.

Ingredient Insights

Introduced ingredient specific insights to explain which foods may contribute to bloating.

Making Digestion Scores Easier to Understand

Users experienced friction interpreting their daily and weekly Digestion Scores, particularly understanding what scores meant and quickly identifying important patterns.

Before

Picture of the intial design before revisions

After

Picture of the intial design before revisions

Improvements

Score Context

Added score context so users could understand what their numbers meant.

Color

Strengthened color semantics to make positive, neutral, and negative outcomes clearer.

Quick Scanning

Simplified content to reduce wordiness and support quick scanning.

Branding

Unified branding and UI patterns to create a more consistent design language across the app.

FINAL

Branding

With the core experience refined, we developed a playful visual identity that connects the physical scanner, virtual pet, and digital experience through one cohesive design language.

Pacaembu Semibold

ABCDEFGHIJKLMNOPQRSTUVWXYZ
abcdefghijklmnopqrstuvwxyz
1234567890

Bear motif meaning

Bear shape reflects app's virtual pet

Minimal branding

Ensures scalability across platforms

#FF5F7D

Pucca Bear motif wireframe

#FFD480

Pucca Bear motif wireframe

#6BB3BB

Pucca Bear motif wireframe

Meet Pucca

Bringing research, usability testing, and a cohesive visual identity together into a connected experience for understanding food and digestive patterns.

meet pucca

Meet Pucca

REFLECTION

Beyond Usability

If I continued developing Pucca, I would move beyond usability testing to evaluate its long term impact.

  • 01

    Measure Understanding

    Track whether users become more confident identifying foods and ingredients associated with their discomfort.

  • 02

    Evaluate Long Term Impact

    Conduct a longitudinal study to see whether continued use helps users anticipate and reduce unexpected bloating episodes.

  • 03

    Validate Real World Value

    Explore whether clearer records of meals, symptoms, and patterns help users have more informed conversations with healthcare professionals when needed.

Acknowledgements

This project would not have been possible without my incredible team and the guidance of our professor, Leila Aflatoony. Her mentorship and thoughtful checkpoints gave us the structure to deeply explore our topic while staying focused through each stage of research, ideation, and testing. I’m incredibly proud of what we created together and grateful for the guidance that made the process so rewarding.