Designing an AI-Driven EMDR Mobile Therapy App

Designing a mobile mental health application to support users in processing trauma using EMDR (Eye Movement Desensitization and Reprocessing) Therapy.

OVERVIEW

Role & Responsibility
UI/UX Designer - User Research, Wireframing, Interaction Design, Visual Design, Prototyping & Testing
Project Type
B2C, AI Powered App
Timeline
March 2025 - May 2025
Platform
Mobile Apps
AI-Driven EMDR Mobile Therapy app is a end-to-end revamp of EMDR-based mental health application, transforming the legacy version into a modern AI chatbot–driven mobile experience. The project focuses on improving usability, simplifying the EMDR therapy flow, and enhancing users’ sense of emotional safety, focus, and guidance—especially for individuals with PTSD.

ABOUT COMPANY

The client for this project is a digital mental health company based in the Netherlands, focused on building technology-driven solutions to support emotional well-being.

FINAL DESIGN

CHALENGGES

Key Challenges in the EMDR Therapy Experience

The main problems that became my reference in making this application design are as follows
Overwhelming and Impersonal EMDR Experience

While clinically effective, the legacy EMDR application overwhelmed users with a rigid, complex flow and technical terminology, creating cognitive and emotional fatigue and limiting the sense of empathy and support needed for trauma-focused therapy.

Engagement and Market Positioning Challenges

Low session completion, weak user engagement, and limited differentiation made it difficult for the product to stand out as a modern, AI-driven EMDR therapy solution.

Confusing Therapy Flow and Lack of Emotional Support

Users struggled to understand EMDR stages and follow the therapy flow, feeling overwhelmed by the process and lacking emotional guidance, while visual and audio interactions failed to support sustained focus.

CHALENGGES

Key Challenges in the EMDR Therapy Experience

The main problems that became my reference in making this application design are as follows
Overwhelming and Impersonal EMDR Experience

While clinically effective, the legacy EMDR application overwhelmed users with a rigid, complex flow and technical terminology, creating cognitive and emotional fatigue and limiting the sense of empathy and support needed for trauma-focused therapy.

Engagement and Market Positioning Challenges

Low session completion, weak user engagement, and limited differentiation made it difficult for the product to stand out as a modern, AI-driven EMDR therapy solution.

Confusing Therapy Flow and Lack of Emotional Support

Users struggled to understand EMDR stages and follow the therapy flow, feeling overwhelmed by the process and lacking emotional guidance, while visual and audio interactions failed to support sustained focus.

PROJECT GOALS

Designing a Supportive and Effective EMDR Therapy Experience

How might we design an AI-driven EMDR experience that feels guided, emotionally safe, and supportive, while keeping the therapy flow simple and non-overwhelming for users with PTSD?

COMPETITIVE ANALYSIS + THE GAP

Market Learnings & Opportunities for EMDR Mobile Therapy App

To understand industry standards and identify opportunities, we conducted a competitive analysis of three major platforms: WYSA, WoeBot, BetterHelp.
Aspect
Wysa
WoeBot
BetterHelp
Core Focus
AI mental health chat
CBT-based chatbot
Human-led therapy
Therapy Method
CBT, mindfulness
CBT
Therapist sessions
AI Interaction
High
Low
High
Visual Therapy
Minimal
Minimal
None
Target Users
General mental health
Anxiety & depression
Broad mental health
Opportunity/What could be improved
  • Growing global demand for digital trauma therapy solutions

  • Clear differentiation through AI + EMDR positioning

  • Combine empathetic AI conversation with structured visual EMDR guidance

  • Gradually educate users about EMDR through progressive disclosure

USER INTERVIEW

Analysis of User Interview Results

To gain a deeper understanding of user behavior, and due to limited time and budget, research was conducted through interviews with 8 existing users and 2 therapists.
Key Insight: After collecting the survey results, I listed 3 key findings. Here's what was decided after discussing the survey results
Navigation & Flow Confusion

Users struggled to navigate between stages due to unclear progression, excessive screens, and overly technical menus that felt intimidating rather than supportive.

Lack of Emotional Support

The experience felt cold and administrative, offering little empathy or reassurance during emotionally intense moments when users needed guidance and validation.

EMDR Practice Confusion

Users were confused about when and how to interact, felt stressed by rapid visual movement, and lacked understanding of the exercise’s purpose.

IDEATION

Collect Insight & Brainstorming

We identified three main focus areas to be implemented in this project.
Empathetic AI chatbot with therapeutic tone

An AI chatbot designed with a warm, therapeutic tone to provide emotional reassurance, guide users through each stage, and support them during sensitive therapy moments.

Progressive disclosure of EMDR stages

EMDR stages are introduced step by step to reduce cognitive load, clarify progress, and help users stay focused without feeling overwhelmed.

Simplified and adaptive EMDR visual elements

Visual elements are simplified and adaptive to user pace, helping maintain focus, reduce stress, and create a calmer, more supportive therapy experience.

LEASON LEARNED

Reflection & Takeaways

Key Learnings from the Project

This project showed me that designing for mental health is different from typical apps. Simplicity is essential—it directly affects how safe and supported users feel. The AI’s tone and pacing matter just as much as visuals, and every UX decision can help or hinder the therapeutic experience. Empathy has to be in every interaction, not just in the words.

Opportunities for Improvement

If this product continues to evolve, there are several areas that could make the experience even better. The EMDR sessions could be more personalized, allowing users to adjust speed and intensity based on their comfort level.

LEASON LEARNED

Reflection & Takeaways

Key Learnings from the Project

This project showed me that designing for mental health is different from typical apps. Simplicity is essential—it directly affects how safe and supported users feel. The AI’s tone and pacing matter just as much as visuals, and every UX decision can help or hinder the therapeutic experience. Empathy has to be in every interaction, not just in the words.

Opportunities for Improvement

If this product continues to evolve, there are several areas that could make the experience even better. The EMDR sessions could be more personalized, allowing users to adjust speed and intensity based on their comfort level.

Let’s Discuss

Planning a project?

Let’s Discuss

Planning a project?

Let’s Discuss

Planning a project?

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