02 — Siemens
Design System — Siemens
Building a more scalable component system for internal products.
Siemens design system component sheet — provided by Beatriz Paiva.
01 — Overview
Work on Siemens' internal design system: component architecture, tokens and reuse across several internal products.
03 — The Challenge
Siemens' internal design system needed to become more flexible and scalable across multiple internal products.
04 — My Role
Product Designer, working directly with the development team on system architecture, component structure and reuse.
05 — Discovery / Research
I worked with internal users and the development team to understand where the existing system created limitations and where components could become more flexible and reusable.
06 — Key Insights
A design system only becomes scalable when its underlying structure works for both designers and developers. Reusable components need to reflect real product needs and implementation constraints.
07 — Design Approach
Design systems, component libraries, design tokens, scalability and reuse — built in close collaboration with engineering so the system holds up in code, not only in Figma.
08 — Key Design Decisions
01 — Reorganise around reuse Restructured the component library to make patterns easier to reuse across internal products. 02 — Design for flexibility Considered how components could accommodate different product contexts without creating unnecessary variants. 03 — Work at the system level Focused on the architecture and relationships between components rather than isolated screens. 04 — Validate with real users Used internal-user interviews and usability testing to validate changes to the system.
09 — Final Solution
A reorganised and more flexible component library designed to support consistency and reuse across Siemens' internal product ecosystem.
10 — Outcome
Improved consistency, efficiency and component reuse across Siemens' internal products.
11 — Learnings
The best design systems aren't just collections of polished components. They are shared infrastructure. Their value comes from making good product decisions easier to repeat across teams and products.
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