InsightEdge
Project Info
Methodology
Summary
InsightEdge is a comprehensive mental health platform designed to bridge the gap between patients and therapists. The ecosystem consists of a mobile application for users to manage their mental well-being and a robust Admin Dashboard for therapists to monitor patient progress using AI-driven insights.
The Challenge
The mental health industry often suffers from a data gap between sessions. Therapists only see patients once a week, making it hard to track daily stress levels or mood swings. Patients, on the other hand, often feel overwhelmed and don't know how to track their recovery journey effectively.
The Goal: To create a 24/7 support system that tracks patient data (Stress, Mood, Activity) and translates it into actionable insights for therapists.
The Solution: A Dual-Sided Ecosystem
A. The Client App (User-Centric)
We focused on main pillars to improve mental health:
Therapy
Seamless booking and video consultation system.
Client Status
A daily mood and stress tracker (Stress Level: Low/Average/High).
Coaching & Sports
Integrating physical activity and mental coaching into the daily routine to ensure a holistic approach.
B. The Therapist Panel (Expert-Centric)
A dedicated dashboard that allows psychologists to:
- Monitor Patient Status in real-time.
- View Data From AI Process which analyzes recording sessions and daily logs.
- Manage schedules and university/education credentials.
User Journey & Experience
The design emphasizes "Calmness" and "Clarity."
- Seamless Onboarding: Users can choose their path (Individual, Couples, or Teens) and get matched with the right therapist.
- AI-Driven Recording: During sessions, the AI processes the conversation to help the therapist identify key emotional triggers.
Design Decisions: Data Visualization
A major challenge was implementing Face Recognition as a security layer without making the entry process feel intrusive or overly technical for patients and experts.
The Approach:
Instead of a cold, biometric interface, I designed a welcoming authentication flow that explains the "Why" behind the technology.
Visual Trust:
By using soft UI elements and clear instructional micro-copy, the system guides users to identify themselves through unique facial features—such as the shape of eyes and mouth—to create a secure mathematical representation.
Frictionless Access:
This technology was integrated to allow experts to "Join the Meeting" instantly, ensuring that session time is spent on therapy rather than struggling with login credentials.
Privacy-First UI:
I ensured the interface provides immediate visual feedback during the recognition process, making a complex AI task feel like a simple, natural part of the user journey.
Key Screens & Deliverables
- Personalized Dashboard: Showing the next appointment and quick access to coaching.
- Profile Management: A detailed section for therapists to manage their "Working Days" and professional bio.
- Recording Interface: A clean, focused UI for AI-powered recording sessions.
Impact & Future Vision
As the platform is currently in the pre-launch phase, the design focused on laying a robust foundation for AI-assisted mental health care. The anticipated impact is centered around two key areas:
Bridging the Data Gap
By integrating "Data from AI processes", we aim to provide therapists with a continuous view of patient progress between sessions, moving beyond reliance on memory or manual logs.
Operational Efficiency
The structured dashboard and automated patient status tracking are designed to significantly reduce the administrative burden on therapists, allowing them to focus more on clinical care.
