Decagon, a three-year-old customer experience platform, is leveraging AI-integrated design workflows to scale its product development. To address consistency challenges, the design team partnered with engineers to build a unified design system named Deco. This library in Figma houses hundreds of components, styles, and variables, ensuring that developers and designers share a common vocabulary. According to library analytics, the system logged tens of thousands of inserts in a 30-day period, confirming its widespread adoption across the organization.

To maintain alignment between design and code, Decagon implemented the Figma MCP (Model Context Protocol), a server that connects design decisions directly to the tools where code is written. By integrating these design components into Storybook and granting coding agents access to the component library, the team has eliminated the need for manual specification exports and iterative reworks. Product Designer Jennifer Xu notes that this allows coding agents to generate high-fidelity starting points by reading directly from Figma, which prevents inconsistency and reduces the time spent on minor technical adjustments.

Customer feedback drives approximately 70 percent of Decagon’s product roadmap, making rapid prototyping essential for the company's development process. The team utilizes Figma Make to create and test multiple prototypes simultaneously, allowing them to present functional mockups to customers early in the design cycle. This process has been particularly effective for developing data-heavy features like interactive dashboards and analytics charts. By using visual prompting to iterate on designs within the tool, Decagon has significantly reduced the time required to move from initial concept to developer-ready output. According to Bihan Jiang, director of product, this ability to build high-fidelity prototypes quickly allows the company to address specific customer needs more efficiently without sacrificing design quality.

Decagon, a three-year-old customer experience platform, is leveraging AI-integrated design workflows to scale its product development. To address consistency challenges, the design team partnered with engineers to build a unified design system named Deco. This library in Figma houses hundreds of components, styles, and variables, ensuring that developers and designers share a common vocabulary. According to library analytics, the system logged tens of thousands of inserts in a 30-day period, confirming its widespread adoption across the organization.

To maintain alignment between design and code, Decagon implemented the Figma MCP (Model Context Protocol), a server that connects design decisions directly to the tools where code is written. By integrating these design components into Storybook and granting coding agents access to the component library, the team has eliminated the need for manual specification exports and iterative reworks. Product Designer Jennifer Xu notes that this allows coding agents to generate high-fidelity starting points by reading directly from Figma, which prevents inconsistency and reduces the time spent on minor technical adjustments.

Customer feedback drives approximately 70 percent of Decagon’s product roadmap, making rapid prototyping essential for the company's development process. The team utilizes Figma Make to create and test multiple prototypes simultaneously, allowing them to present functional mockups to customers early in the design cycle. This process has been particularly effective for developing data-heavy features like interactive dashboards and analytics charts. By using visual prompting to iterate on designs within the tool, Decagon has significantly reduced the time required to move from initial concept to developer-ready output. According to Bihan Jiang, director of product, this ability to build high-fidelity prototypes quickly allows the company to address specific customer needs more efficiently without sacrificing design quality.