Smart Bricks is an AI-powered real estate investing platform designed to empower investors with advanced analytics and AI-driven ROI simulations based on comprehensive data insights.
I designed the MVP-V1 to enhance informed decision-making for investors. This strategic UX design resulted in a 70% increase in landing page conversions and a rise in closed deals from 6% to 28% within the first month.
Product Design __ UX Strategy, UX Research, UX Design, Interaction Design, Visual Design, Rapid Prototyping, and Usability Testing.
Nada Hazem - CTO | Product Consultant
Dhruv Dharamshi - CEO | Entrepreneur
Achala Dissanayake - Development Lead
3 Months - Launched in November 2024.
Following the announcement of Stadia’s shutdown, questions remained on what would happen with the platform’s Wi-Fi proprietary controller — whether they could still be used wirelessly, or become e-waste.
I led the end-to-end design direction of the web experience for enabling Bluetooth on the controllers and played a pivotal role in defining the update process.
The website's launch was met with outstanding public sentiment from the community and publications, alongside 1 million+ successfully updated controllers.
Investors Platform
Landing Page
Real estate investors face significant challenges in accessing reliable and comprehensive data to make informed investment decisions.
Investors struggle to find reliable, data-driven insights on real estate investments, making it challenging to assess ROI and identify optimal investment opportunities.
Traditional methods of evaluating properties are time-consuming and often lack predictive analytics, making it difficult to accurately forecast returns on investment.
Individuals:
Develop a smart platform that utilizes AI to provide comprehensive real estate investment analytics, enabling users to simulate ROI, discover investment opportunities, and make informed decisions based on city-specific market data.
Smart Bricks leverages AI to provide real estate investors with detailed analytics and ROI simulations, enabling them to make data-driven investment decisions.
The platform offers an intuitive interface to explore top cities, analyze market trends, and access project-specific insights, streamlining the investment process.
Empower Investors, AI ROI Simulation
Comprehensive Insights
User Experience
Smart Bricks hosts an extensive database of real estate listings, creating a need for a search feature that narrows down options to match users' investment preferences effectively.
Without an optimized search flow, users could become overwhelmed, leading to high bounce rates and disengagement.
Investing in real estate involves numerous variables and personal preferences, making it a complex decision-making process.
This feature simplifies the process by gathering key data to provide curated, relevant listings, enhancing user experience and decision-making.
Quantitative:
Qualitative:
Due to technical constraints with API integrations from various property vendors, the MVP-1 phase could not support a robust keyword search functionality.
Planned future integration of keyword search functionality as API issues are resolved post-MVP.
After thorough research and collaboration with the backend team, we identified that search criteria could be refined through pre-defined search lists.
This approach bypassed the immediate need for keyword search by categorizing properties based on critical investment factors (e.g., location, property type, projected ROI).
This allowed us to deliver a functional and user-friendly search experience within the MVP-1 constraints.
Users often have multiple investment priorities, requiring an efficient way to organize and monitor various search results.
The Watchlists feature addresses this need by allowing users to create multiple lists tailored to different investment preferences.
The auto-pilot mode further enhances this by automatically updating the watchlists and notifying users of new matching opportunities.
Given the vast number of property listings, users need tools to streamline their search process.
The Watchlists feature allows them to manage different investment interests without manual tracking, making it easier to stay updated on new opportunities that match their criteria.
For instance, a user may simultaneously track off-plan investments and ready-to-move properties, each requiring distinct parameters.
Quantitative:
Qualitative:
Risk of cluttering the Watchlist Cards with too many details, making them difficult to manage.
Ensuring essential details are not overlooked, providing users with all they need at a glance.
By focusing on a clear information hierarchy, we emphasized key metrics (like property type, location, and ROI) while using concise summaries for less critical data.
We also optimized the auto-pilot mode to deliver timely, relevant notifications without overwhelming the user.