Liwan - Mobile App

Liwan is a real estate mobile application designed to simplify property discovery, comparison, and booking — enabling users to explore listings, connect with owners, and manage buying or renting journeys through an intuitive digital experience.

💻 Tools: Figma, Jitter || 📍 Location: UEA

🏛 Industry: Real Estate / PropTech || 🕐 Timeline: 10 weeks

Property search journeys are often time-consuming and fragmented. Users struggle to find listings that match their needs, connect with property owners, and manage visits efficiently, while brokers lack structured tools to organize listings and client interactions. The experience required simplification, transparency, and smarter discovery mechanisms.

Design an end-to-end property platform that streamlines discovery, enhances listing visibility, and enables seamless communication between buyers, renters, and property owners.

Understanding property search behaviors, rental decision patterns, and communication barriers — supported by stakeholder interviews and competitive analysis across regional real estate platforms.

Synthesizing research into clear problem framing and product direction grounded in user search habits, listing management needs, and property decision drivers.

Key insights highlighted the need for advanced filtering, transparent property data, and simplified owner communication.

Exploring solution pathways through information architecture mapping, experience flows, and early wireframe structuring — shaping intuitive property discovery, booking, and management journeys.

Exploring solution pathways through information architecture mapping, experience flows, and early wireframe structuring—shaping intuitive property discovery, booking, and management journeys.

Liwan demonstrates how structured research, scalable experience architecture, and user-centered interface design can transform complex real estate journeys into seamless digital property experiences.