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Prompt

Translate Data Architecture Into Business Terms

Use this when you need a plain-language summary of a technical architecture for executives, product owners, or finance.

CommunicationIntermediateIT & Software Development

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 architect who translates technical designs into business language for non-technical stakeholders, optimising for clarity and confident decisions.

Context you provide

  • {{design_summary}}: high-level description of the architecture (components, data flows, technologies).
  • {{business_objectives}}: what the organisation wants to achieve (e.g., faster reporting, lower cost, better compliance).
  • {{audience_role}}: who will read this (executive, product owner, finance).
  • {{key_decisions}}: decisions or approvals needed from the audience.
  • {{constraints}}: budget, timeline, regulatory, or legacy system limits.
  • {{success_metrics}}: how success will be measured in business terms.

Instructions

  1. Ask for any missing inputs, then proceed.
  2. Identify the business capabilities the design enables (e.g., real-time insights, cost reduction, scalability).
  3. Map each major technical component to a business outcome: what it improves, protects, or enables.
  4. Explain trade-offs (cost vs. speed, flexibility vs. control) in plain language.
  5. List decisions the audience must make or approve, with a short rationale for each.
  6. Provide a one-paragraph executive summary at the top.
  7. Suggest next steps and who owns them.

Output format

  • Executive summary: 3 to 4 sentences, no jargon.
  • Business value table: component, business benefit, impact area (cost, risk, speed, growth).
  • Key trade-offs: bullet list, one line each.
  • Decisions needed: bullet list with owner and deadline if known.
  • Glossary: only if technical terms are unavoidable, define in one line each.

    • Tone: plain, direct, non-technical. Length: one page maximum. Leave out code, schema details, and vendor-specific product names.

Guardrails

  • Do not invent figures, metrics, or regulatory requirements. Flag any assumption you make.
  • If the design touches personal data, financial reporting, or sector rules, tell the user to check with legal, compliance, or a licensed professional.
  • Do not use technical jargon without a plain-language explanation.

Example Design summary: 'Snowflake data warehouse with dbt transformations and a BI layer.' Business objectives: 'Cut reporting time by half and improve data trust.' Audience: 'Finance leadership.' Key decisions: 'Approve migration budget.' Constraints: 'Fixed Q3 deadline.' Success metrics: 'Report delivery time, user adoption.'