Cognitive Overload
Users are intimidated by complex chemical names and don't know if they are harmful or beneficial.
Mobile Application
TruWiz
An AI-powered app that scans products, analyzes their ingredients, and identifies harmful or beneficial chemicals based on personal health data.
- Role
- Product Designer
- Duration
- 6 Months
- Tools
- Figma
- Focus
- AI, Health, Mobile
The Problem
Consumers struggle to understand the ingredients and chemical composition of everyday products. Without clear information, they cannot easily identify harmful substances or determine whether a product is suitable for their personal health needs.
The Solution
An AI-powered mobile app that scans product labels to instantly highlight harmful or beneficial ingredients. It provides personalized suitability insights based on the user’s health profile, allergies, and preferences.
Discovery & Research
🤔 Where did the idea come from?
It started when a friend and I were struggling to find the right skincare products. We realized that even though we could upload photos to ChatGPT for ingredient checks, it was too many steps. We wanted something smoother—an app that tells you if a product suits your skin type and keeps a history. That’s where this concept came from.
1. The Spark: Identifying the Market Gap
While ingredient analysis tools exist (Google, Yuka, ChatGPT), they fail in two key areas: context and speed.
- The Friction: Users currently resort to taking photos, uploading to LLMs, and writing prompts. This is a high-effort process that causes abandonment.
- The Gap: No solution combined instant scanning with personalized health logic.
2. User Pain Points
Generic Results
Most scanners give a generic "Good/Bad" rating but fail to account for specific allergies or skin types.
Lack of Traceability
Users struggled to remember which products they had previously scanned or why they rejected them.
3. Competitive Audit
I analyzed the current workflow of using ChatGPT for ingredient checking:
Current Workflow (6+ Steps)
Open Camera → Take Photo → Open App → Upload → Type Prompt → Wait.
Opportunity (2 Steps)
Open App → Scan.
Target Users
Primary Users
- Skincare & personal-care conscious users (18–35)
- People with sensitive skin, allergies, scalp issues
- Users who shop offline + online
Secondary Users
- Fitness / health-conscious users
- Parents buying products for children
User Flow
The end-to-end path from first launch to a suitability result, including the image-quality check that sends a blurry scan back for a retake.
Visual Design
The seven screens that carry a user from sign-in to a scored result: profile setup that captures skin, hair and sensitivities, the scan itself, the analysis pass, and the breakdown behind the rating.
Login
Sign in, with social options for a faster start.
Onboarding
Skin, hair, scalp, diet and sensitivities — the profile every score is measured against.
Home
Scan entry point, recent scans and short reads.
Scan label
Camera framing with a demo mode for testing.
Product selected
Confirmation before analysis begins.
Analyzing
Each check named as it runs, so the score never feels like a black box.
Result
Score out of 10, then the breakdown behind it — harmful ingredients, good ones, skin and age fit.
Saved
Bookmarked products to revisit.
Profile
Edit the profile and rescore future scans.
Usability Testing
To validate the early design, I conducted lightweight usability testing with 3 participants. Each was asked to scan a real product and explain their decision-making process.
Key Observations
- Users struggled to understand certain ingredient names, even with short descriptions.
- Some users hesitated at the results screen, unsure about the next action (save vs reject).
- Users responded better to visual cues (colors) than text-heavy explanations.
Iterations & Changes Made
Simplified Terminology
Replaced technical terms with plain-language summaries.
Risk Indicators
Introduced color-coded badges (Safe, Caution, Avoid) for quick scanning.
Improved CTA
Refined button hierarchy to make the "Next Step" obvious.
📈 Success Metrics
Evaluating effectiveness based on speed, clarity, and confidence.
Time to Decision
Significantly reduced by eliminating manual research.
Reduced Steps
From 6+ steps (ChatGPT method) down to 2 steps.
Confidence
Visual indicators improved trust in decision making.
Repeat Usage
Scan history encouraged long-term value.
🚀 Future Scope
Barcode Scanning
Enable barcode scanning for faster ID of packaged goods.
Regional Regulations
Flag ingredients restricted in specific countries.
AI Comparison
Compare two products side-by-side for safety scores.
Dermatologist Verification
Premium feature with medically verified insights.