FoxFinds Price Intelligence Platform
FoxFinds is a price intelligence product that helps shoppers avoid fake discounts by tracking historical prices across major online retailers. I led the product end to end, from problem definition and user research to UX design, prototyping, and launch, balancing speed, technical constraints, and long term scalability.
The product currently operates as a browser extension with plans for mobile expansion, supporting informed purchase decisions in real world shopping scenarios.
Client
Year
2025
Industry
Consumer Tech Ecommerce
Role
Founder and Lead Product Designer
Challenge
Price Manipulation and Trust
Shoppers frequently encounter misleading discounts where prices are artificially raised before sales events, making it difficult to judge real value.
Fragmented Comparison Experience
Users had to manually compare prices across multiple sites and rely on unreliable deal badges with no historical context.
Platform Constraints
Mobile platforms restrict real time price tracking, forcing early design decisions around browser based workflows without degrading the core value proposition.
Solution
Historical Price Intelligence
Designed a clear and readable price history visualization that surfaces trends, lowest price points, and volatility instead of focusing only on current discounts.
Lightweight Tracking Workflow
Created a low friction save and track interaction that works in the background while users shop, avoiding interruption and cognitive overload.
Platform First Strategy
Intentionally launched as a desktop browser extension to validate demand and data accuracy before expanding into mobile experiences.
Impact
Real User Adoption
FoxFinds is actively used by early adopters to track prices across Amazon and BestBuy, with growing historical data coverage.
Behavior Change
Users reported delaying purchases after seeing price patterns, avoiding impulse buys driven by artificial urgency.
Scalable Foundation
The data model and UX patterns were designed to support future features such as alerts, retailer expansion, and community driven deal validation.
Deliverables
User Research and Problem Definition
Information Architecture and Core Flows
Wireframes and High Fidelity UI Design
Interactive Prototypes and Usability Testing
Launch Ready UX for Browser Extension
