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ROLE
Product Designer
TIMELINE
4 Months
CLIENT
Onyric
YEAR
2025
SCOPE
Product Design
INDUSTRY
B2C - Healtcare
ONYRIC bridges the subconscious and conscious worlds using AI-powered dream analysis. Designed with a voice-first interface and explainable AI, the app guides users from raw dream input to actionable insights.
This case study explores how we turned a complex psychological tool into an intuitive, mobile-first experience.
THE PROBLEM
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Current dream interpretation methods are subjective and time-consuming
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Limited access to professional dream therapists (only 12% of users have access)
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Existing apps lack AI sophistication and personalization
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Market gap: No science-backed AI dream analysis tools
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User frustration with generic interpretations (78% dissatisfaction rate)
UX - UI DESIGN APPROACH
ONYRIC’s interface is calm, intuitive, and emotionally supportive from the first screen. The journey starts with a soft, minimal home in deep blue and purple gradients, with a prominent “Record Dream” button that makes it easy for groggy users to begin.
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Emotional Mapping: The layout and color choices reduce cognitive load and create a welcoming mood.
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Speed & Privacy: Quick voice-to-text capture and a streamlined onboarding build trust and ease.
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Typography: Avenir ensures clarity and easy reading, while Felgine adds warmth and a gentle, therapeutic tone in headings and highlights.
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Visual Language: Deep purple, purple gradients and accents guide users smoothly through the app, yet maintain consistency and elegance.
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Accessibility: Large tap targets and screen reader-friendly layouts support inclusive use.
USER RESEARCH & DISCOVERY
Understanding our users was critical to designing an AI that truly serves their needs. We conducted comprehensive research across multiple demographics to uncover the real challenges people face when trying to understand their dreams and how technology could bridge that gap.
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🎯 65% preferred voice input, 82% wanted pattern recognition
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🔬 500+ survey respondents, 50 interviews
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👨🏼🦰 Personas: Millennial wellness seekers, sleep-disorder patients, fascinated by symbolic world
Strategic Insight
Research showed strong demand for voice input and pattern recognition, confirming users want effortless logging and deeper insight into recurring themes. Key personas—wellness-focused millennials, sleep-disorder patients, and therapy users—highlighted Onyric’s role as a daily tool for emotional clarity and self-awareness.
BUSINESS IMPACT
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📈 User Engagement: 240% increase vs. traditional dream journals (simulation)
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🧠 AI Accuracy: 94% pattern recognition validated against clinical standards
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⏱️ Time to Insights: 90%+ reduction (3 seconds vs. 20+ minutes manual analysis)
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😴 Sleep Quality Awareness: 78% improvement in user understanding
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🔄 Retention Rate: 2.3x return usage compared to competitors
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📱 Market Position: Positioned to capture 15% of $2.1B sleep tech market
LESSON LEARNED AND FUTURE ROADMAP
Designing ONYRIC taught us valuable lessons about creating AI products that users trust and love. These insights now guide our approach to future AI projects and reveal exciting opportunities for expanding dream analysis technology.
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Future Enhancements:
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Phase 2: Dream visualization using generative AI
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Phase 3: Community features with anonymous pattern sharing
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Phase 4: Integration with wearables for complete sleep ecosystem
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Phase 5: Marketplace with Activities to reduce stress and improve mental health
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Phase 6: Collaboration with specialists (psychiatrists, psychologists, etc.) to book their services from the app.
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THE PROBLEM
-
Current dream interpretation methods are subjective and time-consuming
-
Limited access to professional dream therapists (only 12% of users have access)
-
Existing apps lack AI sophistication and personalization
-
Market gap: No science-backed AI dream analysis tools
-
User frustration with generic interpretations (78% dissatisfaction rate)
USER RESEARCH & DISCOVERY
Understanding our users was critical to designing an AI that truly serves their needs. We conducted comprehensive research across multiple demographics to uncover the real challenges people face when trying to understand their dreams and how technology could bridge that gap.
-
🎯 65% preferred voice input, 82% wanted pattern recognition
-
🔬 500+ survey respondents, 50 interviews
-
👨🏼🦰 Personas: Millennial wellness seekers, sleep-disorder patients, fascinated by symbolic world
Strategic Insight
Research showed strong demand for voice input and pattern recognition, confirming users want effortless logging and deeper insight into recurring themes. Key personas—wellness-focused millennials, sleep-disorder patients, and therapy users—highlighted Onyric’s role as a daily tool for emotional clarity and self-awareness.
UX - UI DESIGN APPROACH
ONYRIC’s interface is calm, intuitive, and emotionally supportive from the first screen. The journey starts with a soft, minimal home in deep blue and purple gradients, with a prominent “Record Dream” button that makes it easy for groggy users to begin.
-
Emotional Mapping: The layout and color choices reduce cognitive load and create a welcoming mood.
-
Speed & Privacy: Quick voice-to-text capture and a streamlined onboarding build trust and ease.
-
Typography: Avenir ensures clarity and easy reading, while Felgine adds warmth and a gentle, therapeutic tone in headings and highlights.
-
Visual Language: Deep purple, purple gradients and accents guide users smoothly through the app, yet maintain consistency and elegance.
-
Accessibility: Large tap targets and screen reader-friendly layouts support inclusive use.
VALIDATION
Validating an AI-powered app requires rigorous testing across multiple dimensions. Our testing approach combined traditional usability methods with AI-specific validation, ensuring both the interface and the underlying technology met user expectations.
Usability Testing Methodology:
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Moderated sessions with 30 users across 3 demographics
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Task completion rate analysis for core user flows
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Error analysis and pain point identification
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Accessibility testing with diverse user groups
A/B Testing Results:
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Voice vs. text input preference (72% voice preferred)
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Insight presentation format testing (visual + text optimal)
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Onboarding flow optimization (40% completion rate improvement)
Beta Testing Outcomes:
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3-month beta with 500 users
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89% satisfaction rate with AI accuracy
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94% would recommend to others
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Average session time: 8.5 minutes (vs. 3.2 min competitors)
BUSINESS IMPACT & RESULTS
📈 User Engagement: 90% increase vs. traditional dream journals
🧠 AI Accuracy: 94% pattern recognition validated against clinical standards
⏱️ Time to Insights: 85% reduction (3 seconds vs. 20+ minutes manual analysis)
😴 Sleep Quality Awareness: 78% improvement in user understanding
🔄 Retention Rate: 2.3x return usage compared to competitors
📱 Market Position: Positioned to capture 15% of $2.1B sleep tech market
LESSON LEARNED & FUTURE ROADMAP
Designing ONYRIC taught us valuable lessons about creating AI products that users trust and love. These insights now guide our approach to future AI projects and reveal exciting opportunities for expanding dream analysis technology.
-
Future Enhancements:
-
Phase 2: Dream visualization using generative AI
-
Phase 3: Community features with anonymous pattern sharing
-
Phase 4: Integration with wearables for complete sleep ecosystem
-
Phase 5: Marketplace with Activities to reduce stress and improve mental health
-
Phase 6: Collaboration with specialists (psychiatrists, psychologists, etc.)
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Phase 7: Marketplace with Food Supplements to improve focus, reduce stress etc.
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