HomeEase
Accessible Housing Made Simple
HomeEase is a housing marketplace that helps people with support needs find accessible homes confidently.
Tools
Figma, FigJam, Adobe Illustrator
Role
UX Researcher, UX Strategist
Project Type
Accessibility + Housing + UX
Background
This case study currently highlights my research and discovery work. Visual design, wireframes, and prototypes are in progress and will be added soon.
<6%
Illustration by Paige Vickers
The Problem
Millions of Americans struggle to find homes that genuinely meet their accessibility requirements.
Fewer than 6% of U.S. homes are accessible.
Over 900,000 NYC residents identify as having a disability.
Many reported that “accessible” listings frequently don’t match reality, leading to embarrassment, wasted time, or unsafe conditions.
Most existing platforms treat accessibility as an afterthought: a single checkbox, vague wording, or no verification.
Project Goal
Design an experience that reduces the emotional and logistical burden of verifying accessibility by making housing searches more transparent, personalized, and empowering.
Research
To understand how individuals with accessibility needs and their caregivers navigate the housing search today, identify key barriers, and design a more inclusive, transparent, and empowering housing search experience.
User Interviews
5 individuals with mobility, sensory, or cognitive disabilities
3 caregivers supporting family members
1 accessibility advocate working with local organizations
Competitive Analysis
Synthesis and Design
To benchmark how existing housing and travel platforms address accessibility.
Zillow
Apartments.com
Redfin
Airbnb
Affinity clustering of 120+ observations to reveal recurring emotional and logistical pain points
Stakeholder mapping to define relationships among users, caregivers, realtors, and advocates
Journey mapping to identify friction
Affinity Clustering Insights
Across interviews, three consistent pain points emerged:
Accessibility misunderstandings cause embarrassment or frustration during outings.
Mistrust of others to plan accessible outings.
Inaccessible public spaces despite ADA claims
User Types Matrix
From behavioral patterns, I identified four types:
Including people actively searching for homes, caregivers assisting loved ones, and advocates working to improve accessibility awareness. I chose to focus on the Adaptive Home Seeker - motivated, independent, and experienced, but fatigued by the constant need to verify accessibility.
User Persona
A retired artist who uses a wheelchair after cancer treatment.
Mary’s Journey Map
Mary’s emotional journey showed a clear progression:
Key Recommendations
My research pointed toward four major opportunities:
Verified Accessibility Information
Trustworthy checklists, photos, and measurements help remove uncertainty.
Personalized Filters
Accessibility varies: mobility, sensory, cognitive.
Users need filters that reflect their real requirements.
Community Feedback Loop
People trust lived experiences from others with similar needs.
Home modification suggestions
Users want help understanding modifications or usability before a visit.
Solution: HomeEase
HomeEase helps users:
HomeEase is a housing discovery platform built for people with support needs.
It combines:
Verified accessibility listings
Personalized accessibility filters
Modification guidance powered by AI
Connections to accessibility-trained realtors
Clearly see whether a home fits their needs
Compare verified accessibility information
Understand modification possibilities
Save and share options with caregivers or professionals
Make confident decisions based on truth, not assumptions
User Flow Chart
HomeEase simplifies the process through a clear, 5-step flow:
Onboarding – Select mobility/sensory/cognitive needs
Search & Filter – Apply personalized accessibility filters
View Details – Review verified photos + accessibility checklists
Save / Share / Report – Manage and collaborate
Contact Realtor – Schedule a viewing with confidence
Next Steps
This project is currently in the research and definition phase. Over the next few weeks, I’ll be designing and testing the first version of the interface.
My next steps include:
Translating the research insights into mid-fidelity wireframes
Designing the filter system (mobility, sensory, cognitive)
Creating the listing detail screen with verified accessibility checklists
Building user flow prototypes
This case study will be updated with final UI designs and usability results as the project evolves.