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Skills / Working / Measure design system adoption

Working Data skill

Measure design system adoption

Measure design-system use, coverage, quality, and outcomes without relying on package installs alone.

Procedure

  1. Define the decision, consumers, supported surfaces, measurement window, and system boundary.
  2. Build an authoritative consumer inventory with owners, products, versions, and criticality.
  3. Define adoption as meaningful use by component, token, pattern, documentation, or service.
  4. Distinguish installed, imported, rendered, current, customized, compliant, and abandoned use.
  5. Collect repository, build, runtime, design-file, documentation, support, and survey evidence with privacy limits.
  6. Measure coverage, version currency, duplication, exceptions, accessibility, defects, satisfaction, and migration effort.
  7. Normalize denominators and retain unknown consumers or unscanned repositories.
  8. Segment by platform and risk without ranking individual performance.
  9. Reconcile automated findings with a consumer sample.
  10. Publish a dashboard and decision log with targets, uncertainty, and review actions.

Guardrails

  • Do not equate dependency presence with correct adoption.
  • Never use adoption metrics to punish teams for evidenced system gaps.
  • Protect repository and employee-sensitive detail.

Related skills

  • Map a business process — Map how business work actually flows through triggers, roles, systems, decisions, controls, queues, and exceptions.
  • Measure event outcomes — Evaluate what an event changed using reconciled participation, experience, behavior, and follow-up evidence.
  • Manage telemetry sampling — Manage telemetry sampling with explicit coverage, bias, cost, rare-event retention, and correction metadata.