A personalized, AI-powered universal wishlist and gift matchmaker designed to bridge the gap between intention and the perfect present.

Role: Lead UI/UX Designer & Frontend Developer

1. Define: The Problem & The Goal

The Challenge:

Gift-giving is a universal practice, yet it remains fundamentally flawed. People either resort to generic gifts, rely on single-store registries (like an isolated Amazon list), or simply guess. There was no centralized, elegant platform that allowed users to curate a “Universal Wishlist” from any website while simultaneously capturing deep personal preferences (hobbies, education, occupation) to fuel intelligent recommendations.

The Goal:

To design and build an intuitive, highly engaging web application that serves two primary functions:

1. Allow users to effortlessly curate and share a universal wishlist using links from any retailer.

2. Leverage an integrated AI Matchmaker to analyze user demographics and interests, generating highly personalized, non-generic gift ideas.

   Secondary goal: Develop a robust, deeply customizable Admin “Overseer” dashboard with a built-in affiliate link routing engine.

2. Research: Understanding the Ecosystem

Before sketching a single screen, I conducted a competitive analysis of existing wishlist platforms (like MyRegistry and Amazon Wishlists). The findings were clear: legacy platforms are functional but visually archaic, heavily siloed to specific retailers, and lack intelligent discovery.

Through user interviews, I identified a core friction point: discovery fatigue. Gift buyers want to give something meaningful but lack the time or insight to find it. They don’t just want a list of links; they want inspiration grounded in reality.

3. Analyze: Personas & Journey Mapping

Synthesizing the research, I developed core user personas. This wasn’t just about the “Gifter” and the “Receiver”—it was about understanding the nuance of different demographics. The application needed to cater to everyone from a Gen Z creative looking for niche tech gadgets to a Gen X professional seeking curated lifestyle items.

The user journey was mapped to ensure that the onboarding process (where users input their occupation, education, and hobbies) felt like a premium concierge experience rather than a tedious form.

4. Design: Information Architecture & Wireframing

The architecture was designed to be flat and accessible. I prioritized a seamless search experience right on the homepage, allowing users to instantly find friends or family without digging through menus.

For the wireframes, I started with rapid hand-sketches to nail down the spatial relationships, ensuring the Universal Wishlist and AI Matchmaker occupied prime real estate on the user profile layout. The goal was a responsive design that felt natively comfortable on both a large desktop monitor and a mobile device.

5. Prototype: The Glass-Morphism UI & Token System

Transitioning to high-fidelity, I engineered a comprehensive Design Token System. Rather than hardcoding styles, the UI is driven by an underlying engine dictating spacing, typography scales, and a dynamic color palette.

The visual identity relies on a sophisticated glass-morphism aesthetic—translucent panels with subtle borders that float above rich, customizable background imagery. I implemented a seamless Light/Dark mode toggle, utilizing CSS animations to make the background environment “breathe” as the user navigates the application.

6. Test: Refining the AI & Interaction

During the testing phase, I focused heavily on the interaction design (micro-interactions on buttons, staggered load animations for lists) and the efficacy of the Gemini AI integration.

Early feedback indicated that AI suggestions were occasionally too generic. I iterated on the underlying system prompt architecture, binding the user’s specific array of hobbies, education, and job title to force the AI to return highly specific, non-repetitive, and easily shoppable gift ideas.

7. Launch & Iterate: The Overseer Engine

The final launch included not just the user-facing application, but a powerful “Gift Overseer” Admin Console. I built this to give total control over the platform’s visual identity and monetization strategy.

Through this dashboard, admins can instantly override global typography, inject new background imagery, tweak panel opacity, and—most importantly—manage an Affiliate Routing Engine. When users add standard retail links to their wishlists, the system automatically intercepts and rewrites them to include designated global affiliate tags, creating a seamless monetization stream without disrupting the user experience.