The Challenge

Vision and Audience

// The Parent (Children 6–18)

A busy parent, asked to check ADHD, looking for a clear and calm online path instead of bureaucracy and confusion.

// The Adult Seeker

A student or professional who suspects ADHD and wants a discreet, digital way to get clarity and next steps.

// The Professional Partner

Teachers and doctors who need a reliable, clinically solid platform to refer families to and close the loop from suspicion to diagnosis.

Competitive Benchmarking

I benchmarked ADHD360 and similar services to map common UX patterns across the diagnosis funnel—entry points, onboarding, questionnaire structure, and trust signals. Insights informed BLOOM’s flow, content hierarchy, and component decisions.

Naming & Brand Concept

“BLOOM” reframes the conversation from “disorder” to potential - capturing the idea of flourishing once the right conditions exist. This concept guided tone-of-voice: less fear, more clarity, and hopeful, clinically grounded messaging throughout the journey.

Visual Identity & Design Rationale

The visual principle was “less is more”: minimal noise, strong hierarchy, and generous spacing to reduce cognitive load. Soft colors, rounded forms, and calm rhythm were treated as functional, not decorative - so long tasks feel more manageable.

Key Insight - The Parent as a Double User

A key insight was that ADHD is often hereditary, meaning the parent completing the process may also struggle with overload and executive function. This drove core UX choices: small steps, predictable patterns, clear confirmations, progress indicators, and forgiving error states.

Information Architecture & Journey Design

BLOOM supports two entry paths: a short screening for users who are exploring, and a direct start for users who already have a recommendation. Both converge into one structured flow: onboarding → multi-chapter questionnaire → document upload → payment → results with tailored outcome messaging and next steps.

Design System & Components

I built a scalable design system with Figma Variables (colors, spacing, radii, key tokens) and a reusable component library for navigation, forms, progress, cards, and message states - supporting a long, form-heavy experience with clear feedback and accessibility.

Designing the Questionnaire Experience

With ~80 questions, the main challenge was endurance. I broke the flow into short blocks and chapters, tested multiple layout directions for readability, and iterated until the experience felt calm, light, and repeatable across the product.

AI as a Design Partner

AI tools supported research and content exploration (patterns, structure, phrasing), but every output was edited, aligned with clinical guidance, and adapted to BLOOM’s brand voice.

Outcome & Next Steps

The result is a coherent end-to-end diagnosis journey with complete flows, a robust design system, and high-fidelity screens for core stages. Next steps include usability testing with parents/adults and measuring completion, drop-off, and satisfaction to guide iteration across both consumer and institutional tracks.