Validation Rulebook

Use to define validation, freshness, and compliance checks for enriched data.

Published by @gtmagents·from gtmagents/gtm-agents·0 agent reads / 30d·0 saves·

Validation Rulebook Skill

When to Use

  • Running QA before syncing enrichment outputs to GTM systems.
  • Auditing providers after schema changes or outages.
  • Documenting compliance-ready validation procedures.

Framework

  1. Rule Catalog – list required fields, regex patterns, allowed values, and dependencies.
  2. Freshness Thresholds – define time-based SLAs per signal type.
  3. Confidence Scoring – set weighting for provider, validation method, and history.
  4. Exception Handling – create workflows for quarantining, reprocessing, or escalation.
  5. Compliance Hooks – log approvals, data residency tags, and retention policies.

Templates

  • Rule table (field, check, threshold, severity, owner).
  • QA runbook with pre/post sync steps.
  • Compliance audit packet ready for legal/infosec reviews.

Tips

  • Automate as many rules as possible but keep manual sampling for high-impact signals.
  • Version rules alongside taxonomy updates.
  • Pair with data-quality-steward outputs for sign-off history.

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