Design Tokens and Systems Questions

Covers the theory and practice of design tokens as a single source of truth for visual properties such as color, typography, spacing, shadows, border radius and elevation. Candidates should demonstrate understanding of token categories and roles, including raw palette values versus semantic tokens, and how semantic naming enables clarity and reuse. Key areas include naming conventions and organization patterns, token hierarchy and scale design for typography and spacing, color system construction and accessible contrast strategies, and how tokens support multiple themes and contextual variations such as light and dark modes or brand variants. Implementation topics include exporting and synchronizing tokens between design tools and code, structured token data formats and transformation pipelines, style sheet variables and runtime theming approaches, integration with component libraries across platforms, versioning, governance and migration strategies, and practical considerations for testing and maintaining token quality. Candidates may be asked to show examples such as building a typography scale, designing a semantic color system, creating spacing scales, or establishing naming and distribution workflows for tokens across design and development teams.