The problem.

MutualMarkets’ core value lies in its intelligence layer—the system that analyzes brand attributes, audience alignment, and cultural signals to generate highly relevant partnership recommendations. However, this intelligence was only accessible within the platform, creating a barrier for prospective brands who needed to understand how recommendations were generated before committing.

Partnership decisions require trust. Brands needed transparency into how their identity, positioning, and strategic goals translated into recommended entertainment partners. Without visibility into the reasoning behind recommendations, the system could appear opaque, making it difficult for users to build confidence in its output or differentiate it from traditional advertising tools.

At the same time, providing unrestricted access to the platform was not viable. The product needed a way to expose its intelligence layer—demonstrating how it analyzed brand inputs and generated recommendations—without requiring full account creation or exposing the entire system.

Without an interactive way to explore and understand its recommendation logic, MutualMarkets could not effectively communicate its core value or enable prospective users to experience the platform’s capabilities firsthand.

My role in solving the problem.

As the founding designer at MutualMarkets, I designed the AI chat experience as a conversational interface to the platform’s intelligence layer—enabling prospective brands to explore partner recommendations, understand the reasoning behind them, and learn how the platform works without creating an account.

I defined the experience architecture, interaction model, and conversational workflows that allowed users to input brand information, receive tailored partner recommendations, and ask questions about MutualMarkets’ capabilities. This included designing how recommendation logic, brand insights, and creative opportunities were presented in a way that was transparent, understandable, and actionable.

I worked closely with founders and engineering to translate complex AI capabilities into an intuitive conversational experience that served both product and marketing goals. The chat allowed users to engage directly with the platform’s intelligence, explore partnership opportunities, and understand the platform’s value—while also serving as an educational and acquisition tool.

I led design from concept through implementation, creating high-fidelity prototypes and defining system behavior to ensure the experience supported exploration, trust, and discovery. My work established a new entry point to the platform—extending access to its intelligence layer and enabling users to experience its capabilities before committing.