Inspiration
Smokers and drinkers systematically underestimate their consumption by 30-50%. They're not lying—they're genuinely unaware. They have one cigarette and don't count it. They have three drinks and remember two. The brain lacks real-time feedback.
We asked: What if we could make invisible bodily signals visible and show neurotoxicity?
Research shows people with greater interoceptive awareness (sensitivity to internal body signals) make better intuitive decisions about their health. We realized: smokers and drinkers don't need shame—they need honesty.
What We Learned
The Science
- The nervous system constantly sends signals about internal state (heart rate, respiration, temperature, chemical biomarkers)
- These signals are invisible to conscious awareness unless actively monitored
- Real-time feedback drives faster behavior change than retrospective data
- Interoceptive accuracy predicts better decision-making
The Human Problem
- Current cessation tools rely on willpower or self-reporting—both fail 90% of the time
- Smokers/drinkers can't see what they're doing in the moment
- Without awareness, there's no urgency or motivation to change
- Shame-based approaches backfire; data-driven awareness works
The Opportunity
- Wearable sensors are now precise enough to detect: hand-mouth gestures, CO exposure, heart rhythm, nicotine/alcohol biomarkers, lung stress
- Multimodal data fusion creates a complete picture of consumption + physiological impact
- Personalized recovery timelines (based on cessation science) create hope and motivation
How We Built It
Phase 1: Define the Problem
- Researched smoking/drinking behavior patterns
- Studied interoception, body awareness, and behavioral psychology
- Validated: self-reporting fails; real-time data changes behavior
Phase 2: Design the Solution
- App interface: Designed to show truth without judgment
- Real-time consumption detection
- Physiological impact visualization
- Personalized recovery path
- Timeline tracking (day/week/month view)
Phase 3: Create the Experience
- Built dashboard cards showing: detection events, vital impacts, toxin load, stress triggers
- Designed body visualization (showing internal stress/damage)
- Created "Start My Quit Journey" recovery timeline
- Optimized for clarity, not information overload
Phase 4: Refine Through Testing
- Iterated on interface clarity (making data readable, not overwhelming)
- Balanced honesty with hope (show the problem + recovery path)
- Ensured accessibility and trust-building
The Challenges
1. Making Invisible Visible
The hardest problem: how do you design an interface that captures abstract body signals in a way that feels real and urgent without feeling clinical or shameful?
Solution: Used body visualization + simple metrics + recovery timelines to create emotional resonance with data.
2. Avoiding Judgment
Smokers/drinkers often feel ashamed. We had to position Resonance as a mirror, not a judge.
Solution: Removed blame language. Positioned data as "your body's truth" not "your failure." Emphasized recovery, not punishment.
3. Balancing Data with Hope
Show consumption honestly, but without crushing motivation to quit.
Solution: Paired real-time consumption data with "If you stop now..." recovery timeline. Data + hope.
4. UI/UX for a Sensitive Topic
Health behavior change is deeply personal. Interface had to feel supportive, intuitive, and non-judgmental.
Solution: Clean, modern design. Warm color palette for encouragement. Clear hierarchy so users can act immediately.
Key Metrics We're Targeting
- Behavior change: Enable quit attempts with 60%+ higher completion (vs. traditional methods)
- User retention: Dashboard engagement that builds daily awareness habits
- Health impact: Measurable improvement in lung function, heart rhythm, stress levels within 6 weeks of quitting
Our Vision
"People systematically underestimate their consumption by 30-50%. They're not lying. They're unaware."
We're measuring it. Making it visible. Making it actionable." "From denial to clarity. That's where behavior change begins." "Your body has been sending signals. We made them impossible to ignore."
Built With
- figma
- figma-ai
- figma-make
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