Housey
Streamlining Property Operations at Scale
Housey is a housing booking platform designed to modernize property operations. As the Lead Product Designer, I bridged the industry’s AI-integration gap by replacing legacy search systems with an AI-powered discovery engine and a streamlined, one-tap application flow.
MY ROLE
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Flow Optimization: Redesigning core features to increase user retention and ease of use.
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End-to-End Design: Mapping journeys for search, smart filtering, and AI-curated listings.
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Technical Prototyping: Creating robust information architectures and interactive Figma systems.
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Collaborative Strategy: Working at the intersection of Engineering, Product, and Marketing to deliver data-backed, feasible design solutions.
Finding affordable homes is often time-consuming and overwhelming. Users face fragmented listings, manual price comparisons, and complex search processes. Housey addresses these challenges by streamlining search, offering AI-driven recommendations, and tracking price changes in real time.
The Challenge
Current housing platforms are stuck in a legacy era. They rely on rigid, manual filters that force users to do all the heavy lifting. There is a clear AI-integration gap in the industry, resulting in fragmented data and an exhausting, repetitive search process.
The Solution
Housey bridges this gap with an AI-first architecture. We transformed the search from a passive database into a proactive Digital Concierge that understands user intent, tracks market shifts, and automates the application journey.
FEATURE 01
Instead of a static search bar, Housey uses a natural language processing (NLP) engine to understand intent, moving beyond basic zip code filters.
AI-Powered Search
To solve the fragmented process problem, Housey centralizes the most friction-heavy part of the journey: the application.
One-Tap Apply & Conversion Funnel
FEATURE 02
Key Pillars of Design
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Conversational Discovery: I replaced complex, multi-step filter menus with an AI Chatbot. This allows users to search using natural language, such as "Find me a quiet 2-bedroom under $2k near a park" rather than clicking dozens of checkboxes.
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Dynamic Price Transparency: I designed a Price Tracker feature that alerts users to fluctuations, ensuring they never miss a deal in a volatile market.
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Curated Visuals: To reduce cognitive load, the UI utilizes a card-based layout with high-contrast typography and clear hierarchy, highlighting the most vital data points .
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Impact & Future Roadmap
Phase 1 - Current
Focused on building a seamless "Free-to-Use" search engine to gather user behavioral data.
Phase 2 - Future
Implementing a subscription model for high-intent buyers/renters, offering instant alerts for price drops.
What I Learned
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Bridging the AI Implementation Gap: Instead of just adding a bot, I used AI to fix the broken search experience of the legacy market, making it faster and more intuitive.
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Designing for Conversion at Scale: Learned to simplify complex forms and legal steps into a clear, stress-free flow that doesn't overwhelm users.