One registry for design system health and parity
A finance operations software company replaced manual spreadsheets with an Airtable base that tracks its full component and foundations registry, including Figma-to-React parity status, quality grades, icon libraries, and design tokens. Interface dashboards surface aggregate health metrics so the Design Systems team and leadership can see current coverage and quality without any manual data compilation.
The problem
The Design Systems team had no automated way to track whether Figma components were matched by production React counterparts, or what quality grade each component had reached. Spreadsheets held the registry data, but they required constant manual updates and could not generate the month-over-month trend metrics the team needed to demonstrate design system value to leadership.
Without a structured component structure and automated rollups, it was nearly impossible to show progress over time. Leadership visibility into coverage and quality depended on the team manually compiling numbers from fragmented files, limiting the team's ability to make the case for sustained investment.
What they built
The team built a component and foundations registry in Airtable, with separate tables for components, icon libraries, and design tokens. Each component record tracks its designed status in Figma, its built status in React, a visual parity grade, and a quality score. Linked records connect components to their token and icon dependencies.
Interface dashboards aggregate the registry data into health summaries: overall component coverage, parity completion rates, and quality grade distributions. The same base serves Design Systems, Product Design, and Front-end Engineering, giving all three teams a consistent source of truth instead of separate tracking files.
The outcome
The Design Systems team now has a live source of truth for component coverage and quality. Leadership can see current parity status and grade distributions from the dashboard without waiting for a manual report, and the team can filter by component category, quality tier, or token dependency to prioritize work.
The base is also the foundation for future ROI reporting. Because every component change is now recorded in Airtable, the team has a path to automated monthly snapshots that will generate the time-series data needed to demonstrate design system progress to leadership over time.
Inside the solution
Design System Operations & Component Registry
Product & Engineering
- Component and foundations registry with designed and built status tracking
- Figma-to-React visual parity monitoring and quality grading
- Icon registry and design token management
- Interface dashboard with aggregate calculations and health rollups
- Manual data entry and no automated trend reporting from spreadsheets
- No historical month-over-month metrics to prove design system ROI to leadership
- Difficulty demonstrating design system value and progress over time
- Lack of organization-wide tool approval and limited budget visibility
- Single source of truth for design system health and parity
- Visibility into component coverage and quality grades for all three teams
- Foundation for future ROI reporting with time-series metrics
- Replaced manual spreadsheet tracking with a live structured registry
- Design Systems
- Product Design
- Front-end Engineering
- Figma
- React
- Airtable
- Interfaces
- Automations
Design System Operations & Component Registry
Track every design system component in one registry - its design status, its shipped React status, the calculated Figma-to-React parity, its quality grade, and the tokens and icons it depends on - with dashboards that show coverage and grade distribution without anyone compiling a spreadsheet. Automations open a parity review for each new component, write the awarded grade back when a review passes, email the build queue weekly, and capture a monthly health snapshot, while Airtable AI drafts component readiness notes and the leadership health narrative.
From manual spreadsheets to a live design system registry
Build the component and token registry
Track parity and grade automatically
Surface health metrics in an interface dashboard
FAQ
Frequently asked questions
Spreadsheets can hold a component list but cannot model the relationships between components, tokens, and icons as linked records, and they have no native dashboard layer. Airtable's linked records let each component reference its token dependencies and icon associations, while Interface Designer builds the health dashboard on top of the same data, so the registry and the reporting surface update together.
Each component record has a designed field representing its Figma status and a built field representing its React status. A formula field calculates parity status from those two values. Designers update the Figma status when a component is finalized in the design tool; engineers update the built status when the React component ships. The registry reflects the current state of both.
The Design Systems team assigns a quality grade to each component based on criteria such as accessibility conformance, token usage, documentation completeness, and visual accuracy. The grade field is updated in Airtable as components move through review. Grouped views and summary fields in the dashboard show grade distributions across the full component set.
Because every component record is structured in Airtable, the team can create automated monthly snapshot records that capture coverage counts and grade distributions at a point in time. Over several months, those snapshots form a time-series dataset that shows design system progress without requiring anyone to manually compile historical numbers.
Views in Airtable let each team see the fields and records relevant to their role. The Design Systems team sees the full registry with grade and parity fields. Front-end Engineering sees a view filtered to components that are designed but not yet built. Product Design sees a coverage summary grouped by component category. All three teams write to and read from the same underlying tables, so there is one record per component rather than three separate tracking files.