Enterprise Design System

Enterprise Design System

Design systems for the enterprise need to balance commonality with specificity and complexity

Challenge

As part of improving our methodology, I was tasked with evaluating our approach to building enterprise design systems and exploring areas where we could enhance and streamline our thought process to address this challenge while factoring in future ideas of scalability and governance of design.

Solution

Many design systems and frameworks are available today with broad-based common visual design and interactive behaviors providing reusable front-end elements and visual style intended for mass-use, and often espousing aesthetics of a particular design philosophy. The Design System here is more focused than it is broad, functionally deeper (and specific) with respect to content and data, with a greater structural basis within an information architecture. 

So, while the many design systems and frameworks available online are intentionally broad and shallow to optimize for the common, this Design System balances commonality with specificity and logical completeness to optimize an experience for a scope of functionality that provides a solution to any business problem.

My Role

My role was to lead the design and development of a new enterprise design system, defining requirements and prototyping the solution. We were a small team comprised of myself as the UX designer, a visual designer, a content strategist, and a technologist collaborating together for two months to develop a recommended solution. 

Results

A more wholistic design system model 


In addition to the common elements found in a design system (patterns, components, visuals, etc.), we've added other pieces such as design principles, functional specifications, and content/ data models to better ensure the governance of the design over time.

A common approach to highly variable and complex contexts


Our work in designing employee experiences results in rich, variable, engaging, and branded designs that deliver personalized services, knowledge, and guidance based on meaningful contexts. We are now creating patterns and components that emphasize contexts, in a repeatable way, through reusable and modular patterns and components, leveraging content models and data structures.
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