As Senior Product Designer at Keller Williams, I led the UI and UX strategy for integrating generative AI into the proprietary real estate platform. The goal: transform the complex, time-consuming task of writing property descriptions into an elegant, intuitive experience for over 160,000 agents.
Real estate agents face friction when drafting compelling, professional listing descriptions for diverse properties. The tool needed to leverage AI to generate high-quality copy while keeping the experience accessible for both first-time users and sophisticated experts.
Lead designer end-to-end, from requirements discovery through high-fidelity prototyping. UI/UX design of the AI prompt input and result-editing interface. Design strategy aligning the AI integration with broader business goals and product roadmaps. Cross-functional collaboration with PMs and Engineers to define AI behavior and technical constraints.
A streamlined AI modal integrated directly into the listing editor — a "starting point" for descriptions that significantly reduced manual drafting time. Centralized design system components made the AI tool feel like a native, cohesive part of the Keller Cloud ecosystem. Strict naming conventions and design operations governance kept the project developer-ready and scalable for future cross-platform updates.
System flow visualizing the agent journey from initial listing creation through AI generation, focused on the "Internal Listings" environment.
The AI modal with multi-language selection, structured prompt-refinement, and interactive editing — integrated directly into the listing editor.
End-to-end flow showing how the AI tool slots into the existing listing creation workflow without disrupting expert agents.
Participated in generative research to understand how agents currently manage listing descriptions — identifying the data points agents need to emphasize, like property features and neighborhood highlights.
Developed detailed system flows to visualize the agent journey from initial listing creation to AI generation. Focused on the "Internal Listings" environment, ensuring the AI tool was a seamless part of the existing workflow.
Multiple Figma iterations of the AI pop-up modal. Language integration for diverse consumer markets, structured prompt-refinement input fields letting agents guide the AI with specific property attributes, and interactive editing so AI outputs are easily refined before publishing.
Used sticky notes and design labs to gather feedback from focus groups and stakeholders — enabling real-time UI adjustments to keep the final designs both visually appealing and functional.