Trunk Club

At Trunk Club I helped make personal styling simple and accessible for consumers across the nation. I contributed to features that improved conversion rates, reduced user activation time, and increased retention as we grew from startup to Nordstrom acquisition. My dual perspective in design and technical implementation shaped my approach to strategic product thinking and cross-functional collaboration.

Check out a brief overview of selected projects below, or

Making personal styling mobile and conversational

Personal styling was traditionally an in-person, high-touch service that didn't translate well to digital experiences. I contributed to mobile design and development that made styling feel personal and accessible through rich product presentations and conversational interactions, fundamentally changing how consumers could access and engage with professional styling services.

Rich Personalized Shopping Experience

I designed and developed mobile experiences that integrated rich product details directly into conversational flows, allowing customers to preview their stylist's selections through native messaging interfaces. This approach made trunk previews feel like a natural conversation rather than a separate e-commerce transaction, improving engagement and reducing the friction between styling consultation and purchase decisions.

Chat-Driven Onboarding & Activation

I contributed to conversational onboarding experiences that transformed traditionally tedious preference-gathering into engaging, personalized interactions. By making the onboarding process feel like a natural conversation with a stylist, we reduced time to first trunk and improved activation rates while gathering richer customer preferences that informed better styling decisions.

Empowering stylists with personalized shopping intelligence

Stylists needed tools that enhanced their expertise rather than replacing their judgment, enabling them to make better recommendations while managing larger customer bases efficiently. I designed internal tools that combined customer insights with inventory intelligence, allowing stylists to shop more strategically for each individual customer.

Smarter shopping for a remote salesforce

I created stylist-facing tools that surfaced personalized product recommendations based on individual customer preferences, purchase history, and feedback patterns. The interface balanced data-driven insights with stylist intuition, providing rich customer context and intelligent product suggestions while maintaining the human touch that differentiated our service from algorithmic styling approaches.

Structured feedback for a more efficient sales cycle

I designed structured feedback collection that allowed customers to review and respond to trunk selections before shipping, reducing returns while providing valuable data for future styling decisions. This system enabled stylists to learn from customer preferences more effectively while reducing the cost of returns and improving customer satisfaction with their styling experience.