The project was developed over six months until the first MVP.
UX documentation included interactive prototypes, a user-journey map, payment-flow diagrams, provider requirement tables, and UX specs for development and QA.
I adapted the BabyDoge design system for the product: created the UI kit, light and dark themes, and component sets for cards, lists, filters, and payment steps. Visual materials, including graphics and promo blocks, were partially generated using AI tools — accelerating iterations and keeping ecosystem consistency.
The platform needed to facilitate communication between real estate agencies and buyers while ensuring a secure and transparent transaction process for both sides.
It had to support multiple payment scenarios, including Reservation Fee and Downpayment, each with its own legal requirements, commissions, confirmation steps, and payment-provider constraints. The product was designed to work consistently across both mobile and desktop platforms.
BabyDoge Properties was launched as a new product within this ecosystem, expanding it into the real-world asset space. Alongside product development, the BabyDoge community has grown into a global audience of over 3,000,000 followers across social media. The project has also donated close to $1,500,000 USD to dog welfare organizations worldwide.
BabyDoge is a Web3 consumer ecosystem that brings together multiple products under a single brand. The ecosystem includes eight different products, such as a mini-app game, an eSIM store, a meme token launchpad, and other community-driven services.
The linear structure, early validation, and unified UX made the flow predictable and easy to follow. The final payment flow was approximately 15% faster than earlier iterations.
The completed MVP was presented at an industry exhibition in Dubai in 2025 as part of the BD Web3 ecosystem showcase.
We built an end-to-end platform that enables users to complete the entire real-estate purchase journey with cryptocurrency — from browsing and selecting a unit to payment and contract finalization.
We adopted a mobile-first approach together with the design lead to ensure a clean, scalable UX foundation.
The flow was then scaled to desktop with identical logic, step order, and state structure.
We validated each iteration of the payment flows together with QA and the product team. These structured walkthroughs helped surface unclear steps, dead ends, and mismatches between provider requirements and the UI.
To compare design options, we used A/B-style testing: hallway tests, remote usability checks, and first-click evaluations. These comparisons showed which version helped users reach the target action faster and with fewer mistakes.
We tested all payment scenarios end-to-end — including provider limits, supported networks, token combinations, legal-confirmation steps, and error states. Based on QA reports and team feedback, the final version became noticeably clearer, more predictable, and reduced places where users could get stuck.
The payment flow was a critical part of the product, as it had to support multiple providers while preserving a single, consistent user experience. Although provider requirements differed, the flow was designed around a shared UX structure with provider-specific constraints handled within it.
During internal reviews and prototype testing, we identified a common Web3 usability risk: identical token names across different networks (for example, USDT on TRC20, BEP20, or Polygon) made incorrect selections easy. To reduce errors, the interface clearly separated networks, disabled unsupported options early, and surfaced fees and constraints before confirmation.
We launched a "Coming Soon" page that allowed users to request early access to the platform. At this stage, the goal was to validate interest, collect leads, and understand user expectations around functionality and property price ranges. We also gathered early feedback from potential buyers to help shape the MVP scope before full development.
The initial functionality was intentionally minimal, focusing on demand validation rather than feature completeness.
I started with an analysis of the UAE real estate market, reviewing over ten developer platforms, including DAMAC and Emaar, to understand how projects, unit listings, filters, and booking flows are structured.
In parallel, we studied Web3 payment best practices and common usability pitfalls specific to crypto transactions. Together with the product team, we analyzed legal workflows, provider requirements, limits, and commission disclosure rules. This work defined the boundaries of the user journey and ensured that all design decisions aligned with technical and legal constraints from the outset.
I worked closely with the CPO, project managers, developers, and QA, aligning decisions through regular product calls, critiques, and design reviews.
As the Product Designer, I was responsible for the end-to-end UX/UI of BabyDoge Properties. In parallel, I supported other products within the ecosystem, collaborating with designers across the team and with the design lead to maintain visual and structural consistency.
End-to-end design of a crypto real estate MVP, building a unified 150+ screen product for mobile and desktop from the ground up — including the property catalog, apartment listings, filters, booking, payment, and the user account.
Expand the BabyDoge ecosystem into real estate by launching a crypto-native MVP that enables secure property transactions and meets payment provider and legal requirements.