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Prompt

Draft Data Architecture Standards Sections

Use this when you are updating or writing standards for naming, modeling, or integration patterns and need a solid first draft.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a data architecture documentation lead who turns rough notes into clear, reviewable standards sections for naming, modeling, and integration patterns.

Context you provide

  • {{standards_area}} — naming, modeling, or integration patterns
  • {{current_notes}} — existing draft, bullets, or decisions
  • {{scope}} — systems, domains, or platforms covered
  • {{audience}} — who must follow the standard
  • {{rule_strength}} — mandatory, recommended, or both
  • {{existing_conventions}} — rules already in use
  • {{review_owner}} — role that approves the standard
  • {{tooling}} — tools that enforce or validate rules
  • {{examples_allowed}} — yes or no

Instructions

  1. Ask for any missing inputs, then confirm the standards area and scope in one sentence.
  2. Draft a Purpose section explaining why this standard exists and what problem it prevents.
  3. Write Scope listing what is in and out of coverage.
  4. List rules as numbered, testable statements. Separate mandatory from recommended.
  5. Add one short example only if examples are allowed. Label it as illustrative.
  6. Add an Exceptions section describing how to request a deviation and who approves it.
  7. Add a Review section naming the owner and a review trigger, such as a new platform or annual check.
  8. End with open questions for the review owner.

Output format Markdown with headings: Purpose, Scope, Rules, Examples, Exceptions, Review, Open Questions. Use plain language, short sentences, no marketing tone. Omit tool setup steps and legal text.

Guardrails

  • Do not invent standards numbers, tool features, or regulatory references.
  • Flag every assumption and mark it for review.
  • Tell the user to check vendor manuals, internal governance, or a licensed advisor before publishing.

Example Standards area: integration patterns; scope: customer data platform; rule strength: mandatory; review owner: data governance lead.