Mood Vault
Conceptualized an AI-driven emotional journal app to help users reflect on their moods over time by designing a personalized interface and smart feedback loop.
Team
Ghali Habti El Idrissi (UI/UX Designer an Researcher) • Justin Birkenmaier (UX Researcher)
Discovery & Research
The Challenge
How can we create a sentient app where users can store emotional memories, thoughts, or experiences, analyze how habits and situations affect their emotions, and provide actionable insights to improve their mental well-being?
The Solution
The solution I designed with Justin is a mobile AI-powered emotional wellness app that integrates multiple intelligent features into one seamless platform. At its core, Mood Vault uses AI-assisted mood detection through natural language processing, voice recognition, and biometric data from smartwatch integration to track emotions in real-time without requiring constant manual input.
To answer our questions, we conducted surveys and the answers led to this target audience:
Target Audience
Young Professionals (25-35)
- • High-stress jobs, busy schedules
- • Seeking work-life balance
- • Tech-savvy, productivity-focused
- • Income: $40-60k
Students (18-24)
- • Academic pressures, social anxiety
- • Need self-awareness tools
- • Highly engaged with social media
- • Seeking coping strategies
Define
Proactive vs. Reactive
Predicts emotional shifts before distress escalates, unlike competitors like Daylio and Reflectly.
No Real-Time Analysis
Dynamic adaptation to changing emotional states through AI and biometric integration.
No Comprehensive Integration
Connects biometric, environmental, and behavioral data for holistic insights.
AI Mood Detection
Real-time emotional tracking through text analysis, voice patterns, and biometric data integration.
Personalized Insights
AI-generated coping strategies based on emotional trends and behavioral patterns.
Wellness Integration
Syncs with fitness trackers and meditation apps for holistic mental health tracking.
Mood-based Affirmations
Daily personalized encouragement
Customizable Widgets
Personalized dashboard layouts
Trigger Insights
AI-powered journaling analysis
Voice Assistant
Optional AI voice interaction
Develop
Wireframes
Low-fidelity wireframes were created to establish the app's information architecture and user flow before moving into high-fidelity design.
Design Comps
High-fidelity design compositions showcasing the final visual direction and interactive elements.
Testing Results
Visual Design
Professional aesthetic and color scheme praised by all testers
Navigation
Sidebar and navigation bar well-received
Core Concept
Feature set found engaging and promising
Health Integration
Easy connection to health apps
Mood Logging Confusion
Users expected to type instead of tapping cards. Core functionality misunderstood.
Dashboard Overload
Too much text overwhelms users and reduces engagement.
Accessibility Issues
WCAG compliance needed. Text too small, poor contrast, unclear icons.
AI Recommendations
Too wordy, not actionable enough. Need concise, clear insights.
Onboarding Flow
"Get Started" interaction unclear. Need Gmail login integration.
Deliver
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