Back to Case Studies
SUN
16:00
PT

Case Studies / Mobile Product Strategy

Clir

A mobile product that helps users understand food labels, identify dietary risks, and make safer purchasing decisions through personalized guidance.

Product Management · UX/UI Design · Mobile Development 2026 / App Store Launch
01

Clir: Scan Clear, Eat Clear

Clir connects personalized dietary preferences with barcode and ingredient information, helping people understand whether a food product fits their individual needs.

The product was shaped across strategy, user experience, interface design, and delivery, with a focus on making complex food-label information clear enough to support decisions in the moment.

Role
Product Manager,
UX/UI Designer
Platform
React Native
Mobile App
Focus
Food Safety,
Personalization
Priority
Label Clarity,
Decision Support
02

Making Food Information Personally Actionable

People with dietary restrictions often struggle to determine whether a product is safe. Ingredient labels are technical and difficult to interpret quickly, while the available information is rarely organized around individual dietary needs.

Clir connects each user’s dietary profile with barcode and ingredient-label data, transforming complex information into clear guidance.

33M+

People in the U.S. live with food allergies

76%

Experience difficulty interpreting food labels

34%

Avoid products due to uncertainty

03

Designing for Clarity and Trust

The Clir identity combines clarity, camera-based scanning, and food-label transparency. The circular logo references a camera lens and the process of revealing information that was previously difficult to understand.

Deep green communicates trust and safety, while soft mint backgrounds make complex information feel calm and approachable. Pretendard supports clear communication across the interface.

Primary
Deep Green
Secondary
Soft Mint
Typography
Pretendard
Design Tone
Clear, Calm, Accessible
Clir logo

Clear + Camera :

Combining clarity and camera-based scanning, Clir helps users reveal food-label information that is usually difficult to understand at a glance.

04

From User Needs to Product Flow

The information architecture was organized around the key actions users perform before and during shopping: creating dietary profiles, scanning products, understanding personalized results, searching alternatives, and saving trusted products.

Low-fidelity wireframes were used to test hierarchy and reduce the number of steps between scanning a product and making a decision.

Core Journey

  1. 01Set Preferences
  2. 02Scan Product
  3. 03Identify Risks
  4. 04Understand Results
  5. 05Decide

Wireframe

Low-fidelity screens were used to test the main shopping flow, from dietary preference setup to scanning, result interpretation, profile management, and saved product history.

Ingredients selection wireframe Allergy survey wireframe Diet preference confirmation wireframe Vegan preference wireframe Barcode scan wireframe OCR scanning wireframe Barcode result wireframe QA wireframe Profile wireframe History product detail wireframe Ingredient list edit wireframe
05

From Flow to Final Product

The final product translates the scanning journey into clear mobile screens that support setup, product search, barcode scanning, personalized results, and profile management.

Clir final product screen showcase
→ Next: MetaDEx KMU Exhibition