Tools (Adobe, Figma)
How to use Figma to maintain shared color and typographic tokens across multiple teams and product ecosystems consistently.
This evergreen guide explains a practical, scalable approach to centralize color palettes and typography tokens in Figma, enabling consistent experiences across teams, products, and ecosystems while minimizing drift and misalignment.
Published by
Charles Scott
August 09, 2025 - 3 min Read
In modern design organizations, consistency across teams and product lines is a strategic asset. Shared color and typography tokens reduce friction when new features are launched, updates occur, or designers move between projects. Figma serves as a central hub where teams can publish, audit, and evolve tokens without duplicating effort. The approach described here balances governance with flexibility, ensuring that local teams can tailor components to specific contexts while remaining tethered to a common language of color scales, font families, sizes, weights, and accessibility rules. The result is a cohesive brand experience that travels cleanly from design to development, with clear provenance for every token.
Start by defining a token model that mirrors real-world usage. Color tokens should cover primary, secondary, accent, neutrals, and feedback states, each with accessible contrast targets. Typography should include scales for headings, body text, captions, and UI labels, along with line height guidelines and letter spacing as appropriate. In practice, create a shared library containing color styles and text styles, plus a small set of component variants that illustrate how tokens compose real UI. By grounding tokens in concrete, testable examples, teams can reason about typography and color decisions in a consistent, repeatable way across devices and platforms.
Build a disciplined publishing and review rhythm across teams.
The first rule is to lock down a single source of truth and enforce cross-project synchronization. Centralize token definitions in a master library that other projects derive from, rather than duplicating assets in each file. Use Figma’s library publishing to distribute updates automatically, and establish a clear change-management flow so contributors understand when and how tokens shift. Document decisions within the library, attach rationale to each token, and annotate any breakpoints where a token may need to adapt for specific ecosystems. This disciplined approach minimizes drift and makes onboarding smoother for new designers joining a program.
Next, implement a naming convention that is precise yet scalable. Consistency in token names reduces confusion when teams search for values or apply them to components. A practical scheme might separate color and typography into layers like color.brand.primary, color.neutral.50, type.heading.h1, type.body.regular. This predictable structure makes it easier to create references in components, prototypes, and developer handoffs. As you grow, the naming convention should accommodate new tokens, such as motion curves or elevation shadows, without collapsing existing hierarchies. Regular audits ensure the taxonomy remains legible and future-proof.
Use tooling and process to keep tokens observable and testable.
Adopt a quarterly cadence for library maintenance that aligns with quarterly product planning cycles. Schedule token reviews to accompany major design system reviews, inviting product managers, designers, and developers to provide feedback on accessibility, performance, and perceived brand alignment. During reviews, verify token usage in a representative set of components and screens, ensuring that every token name remains intuitive and that color pairs satisfy contrast requirements across light and dark modes. Document any observed gaps and assign owners for remediation. The process should be lightweight yet thorough, delivering updates that are actually adopted rather than accumulated.
Pair token governance with practical implementation patterns. In Figma, maintain a set of token-driven components and variants that demonstrate how tokens map to UI states. Use constraints and responsive rules to show how typography scales with viewport sizes, and how color adapts under different accessibility contexts. Encourage teams to prefer token references instead of hard-coded values in components, which keeps UI coherent when tokens evolve. Finally, ensure the master library remains accessible to developers, so that handoffs reflect the same token values used in production assets.
Foster collaboration to keep tokens universally applicable.
Visibility is essential. Build dashboards or lightweight documentation panels within the library that reveal token histories, recent changes, and upcoming migrations. This transparency helps teams anticipate impacts, track design debt, and plan budget for updates. In addition, establish a standard for token deprecation: when a token is retired, its replacement token should be clearly communicated, with migration steps and a timeline. By foregrounding token lifecycles, teams can coordinate among design, engineering, and product goals, avoiding abrupt, uneven transitions across ecosystems.
Alongside documentation, implement automated checks where possible. Create lightweight validators to ensure components using tokens do not bypass the established color or type scales. For example, a guardrail could flag any instance of a non-token color or a font size that falls outside the approved scale. Integrations with design-system plugins or token-extraction scripts can surface anomalies quickly. While automation cannot replace governance, it acts as a reliable early warning system, catching drift before it propagates into production ideas.
Practical steps to scale token usage across organizations.
Collaboration is the lifeblood of a healthy token ecosystem. Cultivate channels where designers from different teams can propose token refinements and discuss edge cases in accessibility. Use co-creation sessions to test how new tokens perform across multiple product surfaces, including web, mobile, and embedded interfaces. Document feedback, then translate it into concrete changes in the master library. With broad participation, the token system gains legitimacy, accelerates adoption, and reduces the risk that a single team’s preferences dominate across diverse ecosystems.
Emphasize accessibility as a design constraint baked into tokens. Contrast ratios, font sizing, and line heights should reflect inclusive principles from the start. When proposing tweaks, validate that changes improve readability for a broad audience and maintain linguistic and branding consistency. The master library should include explicit accessibility notes and test cases that illustrate how token updates affect real-world components. This commitment to inclusive design helps ensure that the same tokens perform well across different products and user groups.
Start with a pilot program that includes a handful of cross-functional teams and two or three product ecosystems. Use the pilot to surface practical gaps, such as missing tokens for a specific device class or an edge case in a complex UI. Capture lessons learned and iterate the token model before broadening adoption. The success of a scalable system hinges on how well it translates to day-to-day workflows, so focus on simplifying usage, reducing cognitive load, and delivering fast wins that demonstrate value to stakeholders across the company.
Roll out a staged expansion plan that aligns with product roadmaps and engineering capacity. As teams onboard, provide clear onboarding materials, example components, and ready-to-use snippets that reflect the master token set. Maintain momentum by pairing token maintenance with regular product demos, where teams can see how tokens influence design outcomes in live projects. Over time, the shared color and typographic tokens become an invisible infrastructure—consistently supporting creativity while preserving brand integrity across every product ecosystem.
