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CASE STUDY // DESIGN OPERATIONS
AI Designer: User Flow & Product Adaptability
Rearchitecting the generative design experience through advanced prototyping and fluid conversational user flows.
Role: Senior Product Designer & Systems Strategist.
Focus: Conversational UI, User Flow, Rapid Prototyping.
"True product design isn't just about final delivery; it's about the ability to map complex technologies, prototype fast, and pivot gracefully when product directions change. This project stands as a rigorous exercise in structuring conversational AI logic into intuitive visual flows."
Designing for the Uncertainty of AI
Generative AI is powerful, but raw prompting introduces immense user friction. Users often don't know what to ask or how to iterate on a result. Our goal was to design a conversational interface that guides the user from a vague idea to a structured presentation, wireframe, or social media asset, transforming unpredictable backend outputs into a predictable visual journey.
Figure 1: Comprehensive user flow mapping the conversational logic and decision trees for the generative AI assistant.
Fluid Interventions & High-Fidelity Prototyping
We focused heavily on the mechanics of the chat assistant and the preview workspace. By building complex, interactive high-fidelity prototypes in Figma, we validated how users would refine AI-generated layouts, toggle between design styles, and handle error states or loading behaviors in real-time.
Figure 2: High-fidelity workspace design showcasing the chat interface, real-time styling controls, and dynamic layout refinement states.
Designing with Agility
Although a shift in product direction changed the final release landscape, this project serves as a masterclass in design agility. It showcases a robust blueprint for AI-driven interfaces, proving how strategic prototyping can de-risk complex technical features and lay down the foundational user patterns for future automation tooling.
