ZeeVar
Boosting user confidence by 62% and reducing decision fatigue by 40% through AI-driven engagement ring design and personalization.
Co-Founder, UX Lead — Interaction Design, Visual Design, User Flows, Rapid Prototyping
Team
Software Engineer, AI Scientist, UX Researcher, Marketing Strategist
Scope
Responsive website
Timeline
6 months
Deliverables
Stakeholder surveys & interviews
Competitive analysis
Ideation workshops
Low- and high-fidelity mockups
Interactive prototypes
Executive presentations
Asset production for development handoff
Choosing an engagement ring is one of life’s most meaningful decisions — yet it can feel overwhelming with endless options, unclear pricing, and little guidance. ZeeVar transforms this moment into an inspiring, personal journey, offering intuitive discovery and AI-powered design that brings every love story to life.
Highlights
Continuous product discovery shifted Zeevar from B2B to B2C, aligning the platform with real user needs and reducing decision fatigue by 40%.
Designed a highly visual, intuitive search and customization experience, reducing back-and-forth and helping 85% of users feel more confident in their ring selection journey.
Integrated AI-powered personalization and generative design, resulting in a 78% satisfaction rate with recommendations and a 62% increase in user confidence through tailored, story-based design experiences.
Choosing and designing an engagement ring is a once-in-a-lifetime decision, filled with emotion and personal meaning. But the process is complex, involving time-consuming search, decision fatigue, and the challenge of turning ideas and stories into something tangible and visual.
"I spent hours searching and still wasn’t sure what I wanted — it felt overwhelming."
— Emma, Marketing Manager
"I wish there was a way to turn my ideas into visuals without needing to explain everything to the jeweler."
— Jason, Architect
"This is such an emotional purchase. I wanted something unique, but I didn’t know where to start."
— Sara, Designer
"Customization feels so limited — I want tools that help me design exactly what I’m imagining.
— Sara, Jewelry Designer
"I wanted the process to feel special and creative, not stressful and endless."
— Priya, Product Manager
"I want to know where the stones come from and trust that everything is ethical."
— Barbie, Engineer
Zeevar targets the engagement ring market, the largest and most profitable segment in the $73.32 billion U.S. jewelry industry. By focusing on engagement rings first, Zeevar can validate its AI-assisted design concept, refine personalization and recommendations, and establish credibility before expanding into other jewelry categories, ensuring a strong and scalable launch.
The U.S. jewelry market continues to grow, with engagement rings remaining the most profitable segment.
Source: www.grandviewresearch.com
To move forward with clarity, we mapped the entire user journey to locate the most critical pain points .
User Journey based on the first round of interview results.
We identified that customization is primarily handled by jewelry designers and shops, leading to a potential B2B model. To enhance visualization, communication, and decision-making, Zeevar developed Zeevar Studio, an AI-assisted tool for designers. A demo product was created to facilitate discussions, gather feedback, and refine the solution.
Low-fidelity demo of Zeevar Studio, developed to support the customer discovery process and validate key features.
Initial assumptions failed: 83% of designers and sales associates preferred sketching or relied on customers to express their preferences.
"The hardest part is helping customers narrow down their ideas. They get overwhelmed and second-guess themselves."
— Rachel, Jewelry Consultant
"I can sketch and guide, but if the customer is unsure, the process drags and they lose confidence."
— Marc, Jewelry Designer
"Most clients don’t know how to describe what they want — they need help figuring it out before they come to us."
— Lana, Jewelry Sales Associate
Customer discovery insights led to rerouting Zeevar’s focus from B2B to B2C, addressing buyers’ needs for trust, clarity, personalization, and visualization throughout their engagement ring journey.
Simplified Affinity Map Diagram.
We identified that users struggled with back-and-forth between research and design, so we focused on helping them define preferences, visualize options, and refine ideas. At the same time, we scaled Zeevar’s business model by connecting to existing ring inventories — bridging B2B partnerships with a seamless B2C experience and supporting both user confidence and business growth.
Mapping the buyer journey revealed emotional shifts and pain points at each stage.
Traditional engagement ring shopping is overwhelming and complex, with users struggling to navigate options, visualize designs, and make confident decisions.
Traditional Engagement Ring Shopping — User Flow
Zeevar simplifies this by introducing a guided, step-by-step experience, where AI assists with search, recommendations, and filters. Progressive information disclosure, 3D visualization, and social sharing.
Suggested Engagement Ring Shopping — User Flow
Zeevar’s design system focuses on giving users control, seamless visualization, and personalized recommendations, all delivered through a responsive, mobile-first interface.
• Design exactly as you imagine: Customize gem, band, and setting with visual filtering and AI-generated suggestions — offering complete ring concepts in the early design stages and detailed adjustments in the final refinement phase.
• Slide-up AI panel: Adaptive AI assistant that appears as a collapsible panel on mobile and a dedicated column on desktop for multitasking.
• Grid study: Dynamic layout supporting side-by-side ring evaluation and responsive scaling across devices.
≤ 480px - Grid Study for phone screens
≤ 480px - Grid Study for phone screens
(1025px – 1366px) Low Fidelity mockups for bigger screens -Save feature
(1025px – 1366px) Low Fidelity mockups for bigger screens -Search feature
(1025px – 1366px) Low Fidelity mockups for bigger screens -Design feature
(1025px – 1366px) (1025px – 1366px) Low Fidelity mockups for bigger screens -Design feature with expanded tools options
≤ 480px - Entry point from searching "engagement ring"
≤ 480px - First interaction with ZeeVar
We noticed early drop-offs from mandatory sign-ins, so we moved design access to the first screen — boosting engagement and letting onboarding happen naturally when users chose to save or share.
Before Testing
Landing Page
Sign In/ Onboarding
Ring Exploration
Customize $
Design
Save &
Share
Close
After Testing
Landing Page
Immediate Design Access
Ring Exploration
Exploration & Inspiration
Sign In/ Onboarding
Save & Share
Close
Refining the user flow after testing.
We tested the prototype with buyers and jewelry professionals, confirming that immediate design access, visual filtering, and AI-driven suggestions significantly reduced overwhelm and helped users feel more confident and inspired in their journey.
• Drop-off rate reduced by 35% after removing mandatory upfront sign-in.
• Time spent on platform increased by 28%, as users engaged immediately with design tools.
• Sign-ups increased by 22%, with users choosing to onboard after meaningful interaction.
• Save & Share actions increased by 30%, indicating stronger user investment in their designs.
"The suggestions felt so personal, like the platform actually understood my style."
— Chris, Customer
"It’s not just browsing — it feels like co-designing my own ring."
— Rachel, Designer turned shopper
"I loved that the platform helped me narrow down my choices without feeling overwhelmed."
— Jake, Buyer
Working with AI showed me its power to adapt — but real impact comes from making it feel human and intuitive.
"AI only works when guided by the right questions and data."
I’m excited to keep exploring how AI can build trust and enhance user experiences.