MindSync : AI Powered Mental Health App
Project Overview
The mental health care app aims to provide immediate emotional support, personalized mental well-being exercises, and therapist insights. It is designed for users experiencing anxiety or stress, offering them emotional assistance through AI, along with real-time monitoring for therapists. Key features include an emotional wheel, AI-driven mood identification, personalized DBT exercises, and crisis mode for high-anxiety users.
User Personas..
High-Anxiety User (Emergency Assistance)
Needs : Immediate help, calming strategies, and easy access to support.
Pain Points: Difficulty navigating standard UI during anxiety episodes; requires urgent help.
Solution: Crisis mode with a simplified UI, dark theme, and quick access to AI voice/text assistant. The system triggers Crisis Mode automatically if inactivity is detected.
General User Interested in Mindfulness
Needs: Regular mental well-being exercises, positive reinforcement, and a personalized experience.
Pain Points: Difficulty maintaining consistency and selecting appropriate exercises.
Solution: AI-powered DBT exercises based on the selected emotion. The user can guide the AI if the suggestions aren’t comfortable, and if necessary, the AI connects them to a therapist.
Therapist
Needs: Insights into emotional patterns of clients, quick access to high-risk cases, and effective follow-up strategies.
Pain Points: Limited data on clients' emotional fluctuations.
Solution: AI-generated insights from the emotional wheel data and immediate alerts for high-risk users, ensuring prioritized attention.
Functional Requirements
Emotion Wheel: A color-coded wheel that allows users to select their current emotional state.
AI Assistance: Text and voice-based support to help users identify and understand their emotions.
Crisis Mode: A simplified, dark-themed interface for users in high-anxiety situations, offering calming strategies and instant access to therapists.
DBT Exercises: Personalized exercises based on the user’s selected emotion, integrated with AI suggestions.
Therapist Insights: AI-driven summaries and real-time alerts about high-risk users for immediate intervention.
Voice Command System: Hands-free interaction to request support or call a therapist directly.
UI/UX Design Goals
Intuitive and accessible design: Ensuring users in distress can easily access the support they need, especially in Crisis Mode.
Personalized experience: Offering tailored exercises and support based on emotional state.
Efficient Therapist Support: Reducing the therapist's workload by providing insights and flagging urgent cases automatically.
Research & UX Strategy Document
1. User Research
Conducted interviews with potential users (high-anxiety individuals, general users, and therapists) to understand emotional needs and app functionality expectations.
Surveyed existing mental health apps to understand pain points and gaps in their features.
2. Competitor Analysis
Compared the features of the app with others like Wysa and Woebot.
Identified strengths such as AI-driven mood assistance, personalized DBT exercises, and real-time therapist support.
Highlighted weaknesses in competitors such as lack of crisis intervention and personalized emotional support.
User Journey
Onboarding & Registration:
Users sign up or log in.
Emotion Selection:
Users select their emotional state from the emotion wheel.
AI Assistance:
AI helps identify emotion if the user is unsure.
Personalized Exercise:
AI suggests a DBT exercise based on the user’s emotion.
Crisis Mode Activation:
In high-anxiety situations, Crisis Mode offers a simplified UI and calming strategies.
Therapist Interaction:
High-risk users are flagged for urgent therapist attention.
