Designing AI-assisted products that reduce complexity without replacing human judgment.

The problem

Planning an international move requires navigating fragmented information across government websites, expat forums, tax resources, housing platforms, and immigration guides. Users often spend months researching conflicting information while trying to determine which countries fit their goals, budget, family situation, and lifestyle. I identified an opportunity to simplify this experience by combining personalized recommendations with structured planning tools in a single product.

What's inside

• AI-assisted country matching based on budget, lifestyle preferences, family needs, career goals, and relocation priorities
• Comprehensive country profiles covering visas, healthcare, housing, taxation, cost of living, education, transportation, and daily life
• Interactive relocation readiness assessment to help users identify planning gaps before beginning the relocation process
• Personalized planning tools, checklists, and guided workflows that break a complex relocation into manageable steps
• SEO-driven knowledge base featuring 30+ long-form relocation guides supporting long-term organic acquisition
• Subscription platform built with Supabase, Stripe, and PostHog for authentication, payments, and product analytics

What's next

• Marketplace connecting users with vetted relocation services and affiliate partners
• Personalized budgeting and financial planning tools
• Expanded city-level relocation recommendations
• Enhanced relocation timelines with milestone tracking
• Community features connecting prospective movers with expats
• Additional AI-powered planning workflows and decision support tools

My Role

• Product strategy and vision
• Customer discovery and competitive analysis
• Roadmap development and feature prioritization
• UX and product design
• AI workflow design and prompt engineering
• API evaluation and integration
• Analytics implementation
• Pricing strategy
• SEO and content strategy
• End-to-end product delivery

Technology

Lovable • Supabase • Stripe • PostHog • OpenAI • Claude • Gemini • Canva • Google Workspace

The problem

Many speech-language assessments rely on standardized developmental norms that are not appropriate for every child. Children with autism, complex communication needs, intellectual disabilities, motor impairments, or limited participation are often unable to complete standardized assessments in a meaningful way. As a result, clinicians spend significant time conducting functional observations and writing narrative reports that accurately describe a child's strengths, challenges, and communication abilities. Evaluation documentation often requires 45 minutes to more than two hours of unbillable work after the assessment has ended. Drawing from my clinical experience as a pediatric speech-language pathologist, I identified an opportunity to build functional, skills-based assessments that evaluate meaningful communication abilities without comparing neurodivergent children to neurotypical developmental expectations while using AI to dramatically reduce documentation time.

What's inside

• Clinician-designed observational assessments focused on functional communication rather than standardized scores.
• Assessment libraries covering: Basic Functional Communication, Infant Feeding Skills (0–12 months), Pediatric Feeding Skills, and Adult Dysphagia.
• AI-generated narrative documentation that transforms clinician observations into professional evaluation language suitable for reports.
• Functional reporting centered on strengths, emerging skills, and support needs instead of percentile rankings.
• Documentation workflows designed to reduce administrative burden while keeping clinical interpretation entirely under the clinician's control.

What's next

• Development paused after completion of a working prototype due to HIPAA compliance requirements that exceeded the capabilities of the low-code development platform. Future development would focus on:
• HIPAA-compliant infrastructure
• Secure client record management
• Longitudinal progress monitoring
• Electronic Health Record integrations
• Expanded functional assessment libraries
• Multidisciplinary collaboration tools

My Role

• Product strategy and vision
• Clinical framework development
• Assessment design
• User research
• UX and workflow design
• AI workflow design and prompt engineering
• Product roadmap and feature prioritization
• Prototype development
• End-to-end product delivery

Technology

Lovable • OpenAI • Prompt Engineering • AI Documentation Workflows • Google Workspace • Canva

Product Decisions

• Designed original observational assessments based on functional communication rather than standardized developmental norms.
• Built AI to support documentation rather than assessment interpretation, ensuring clinicians retain complete clinical judgment.
• Structured assessments around observable functional skills to better support neurodivergent children and individuals who cannot complete traditional standardized testing.
• Focused reporting on clinically meaningful descriptions that can be incorporated directly into evaluation documentation.
• Prioritized reducing documentation burden over replacing clinician expertise.

Lessons Learned

Building the Dynamic Assessment Suite reinforced that successful healthcare products require balancing user needs, technical feasibility, and regulatory requirements. While the core product successfully demonstrated how AI could reduce documentation burden for functional assessments, I chose to pause development after validating the concept because the available development platform could not meet HIPAA compliance requirements. This experience strengthened my understanding of healthcare product development, regulatory constraints, and the importance of evaluating technical feasibility alongside customer value before scaling a product.