Comigo: AI Powered ADHD Support
Jason Curry
Case Study: Designing Comigo – A Responsive AI-Powered ADHD Companion
Introduction
Comigo is an AI-powered ADHD companion designed to provide real-time executive function support, bridging the gaps where traditional therapy and medication fall short. With 366 million people globally and 15 million in the U.S. alone living with ADHD, the need for scalable, accessible support is critical. Additionally, 45% of people who need mental health support for ADHD cannot access it due to financial, geographic, or systemic barriers. Comigo steps in to fill this void by providing intelligent, adaptive, and scientifically backed coaching and task execution assistance.
As a seasoned Product Designer and UX/UI expert, I have spent my career crafting intuitive, high-impact digital experiences. Comigo represents one of the most rewarding and challenging projects I have worked on—an AI-driven ADHD companion app designed to provide real-time executive function support, bridging the gaps where traditional therapy and medication fall short.
This case study will walk through the end-to-end UX process for Comigo, from user research and persona building to wireframing, prototyping, and usability testing. I’ll also detail how we leveraged event analytics with PostHog to track user behavior, iterate on design decisions, and improve product-market fit—leading to a stickiness increase from 15% to 45% and a dramatic churn reduction from 30% to 3.3% by revenue.
User Research & Persona Development
Understanding the ADHD + Autism Spectrum Audience
People with ADHD—and those who may also have Autism Spectrum Disorder (ASD)—struggle with executive function, task initiation, focus, and motivation. Traditional productivity apps fail them because they assume neurotypical behaviors, whereas Comigo needed to adapt to real-world ADHD cognition patterns.
User Interviews & Pain Points
I conducted 40+ in-depth user interviews, gathering insights from individuals with ADHD and ASD, as well as psychologists, behavioral coaches, and ADHD specialists. Key takeaways:
Overwhelm is the enemy – Too many features or rigid structure leads to immediate disengagement.
Instant feedback & dopamine rewards matter – Users need quick wins to stay engaged.
Task paralysis is real – Users don’t need more lists; they need guided execution.
Context switching is disruptive – Traditional task apps break flow instead of supporting it.
Accountability improves outcomes – Users benefit from AI-driven nudges and progress tracking.
These insights informed our persona development, breaking down Comigo’s user base into three core groups:
The High Achiever – An ADHD entrepreneur looking for structured coaching & accountability.
The College Student – Struggles with task initiation and time blindness, needs adaptive scheduling.
The Distracted Professional – Faces burnout from context switching, seeks focus-enhancing tools.
UX/UI Design Process
Wireframing & Prototyping in Figma
With personas and pain points clearly defined, I moved into wireframing and prototyping in Figma. The goal was to design a system that felt fluid, intuitive, and adaptive rather than rigid and overwhelming.
Key design choices:
Progressive Disclosure – Users only see what’s needed in the moment to reduce cognitive load.
AI-Powered Smart Tasks – Instead of static to-do lists, Comigo suggests the next most impactful task.
Adaptive UI – Users can toggle between a structured or flexible layout depending on their work style.
Dark Mode & High-Contrast Themes – Designed for sensory sensitivity common in ADHD/ASD users.
We developed several interactive prototypes, testing everything from onboarding flows to task management interactions. Feedback was immediate: Users loved Comigo’s ability to dynamically adjust to their needs, unlike static productivity tools.
Key Features Built & Iterated
AI-Powered Task Execution – Guides users through tasks, not just reminding but helping them complete.
Progress Tracking & Dopamine Rewards – Uses gamification & self-reported check-ins.
Accountability & Body Doubling Mode – Keeps users engaged by working alongside them in real-time.
Adaptive Planning & Time Blocking – Recognizes task avoidance patterns and adjusts schedules dynamically.
Medication Adherence & Self-Assessment Tools – Tracks adherence patterns, reminders beyond just notifications.
Event Analytics & Product Iteration
Tracking Behavior in PostHog
To validate our design decisions and continuously improve Comigo, I integrated PostHog for event tracking. This allowed us to see:
Where users dropped off in onboarding.
Which features drove retention vs. caused friction.
How long users spent in focus modes & accountability sessions.
Key Metrics & Improvements
Stickiness: Grew from 15% to 45% by optimizing onboarding, reminders, and AI nudges.
Churn Reduction: Dropped from 30% to 3.3% (by revenue) by improving task follow-through & progress tracking.
Activation Rate: Improved by 50% after redesigning the first-session experience.
Final Results & Takeaways
Through an iterative, data-driven UX approach, we built an ADHD-first experience that not only engages but adapts to the user in real time. The impact was clear:
A major increase in retention and engagement.
An AI-driven, neurodivergent-friendly UX that truly works.
A validated product-market fit through continuous testing and analytics.
Comigo stands as a testament to the power of human-centered design, rapid iteration, and evidence-based decision-making. This project underscores my ability to research, design, and scale complex digital products, making me an invaluable asset to any team tackling user experience at the intersection of AI, cognitive health, and productivity.
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Posted Jan 24, 2025
I led UX, UI, and product design, crafting an engaging AI experience that boosted stickiness (15% → 45%), cut churn to 3.3%, and achieved 48% (from 20%) PMF.
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