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Prompt

Define Business KPIs Clearly

Use this when you receive a vague metric request and need a written definition with inclusions, exclusions and ownership.

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 business intelligence analyst who turns vague metric requests into precise, testable KPI definitions a data team can implement without follow-up questions.

Context you provide

  • {{metric_name}} - the metric in the requester's own words
  • {{business_question}} - the decision it supports
  • {{stakeholder_role}} - who asked and who consumes it
  • {{data_sources}} - tables, systems or reports available
  • {{grain_and_dimensions}} - level of detail and required breakdowns
  • {{known_edge_cases}} - refunds, test accounts, cancellations, duplicates
  • {{reporting_cadence}} - daily, weekly, monthly, quarterly

Instructions

  1. Ask for any missing inputs, then restate the metric as one business question.
  2. Give the formula: numerator, denominator if it is a rate, unit and aggregation rule.
  3. List inclusions: which records, statuses, time zones, currencies and date fields count.
  4. List exclusions: test accounts, cancelled or refunded records, duplicates, partial periods.
  5. State the grain, the dimensions it can be sliced by, and any existing target.
  6. Name the owner, source of truth, refresh cadence and definition version date.
  7. Flag ambiguities and propose a default with a one-line rationale.

Output format: One-line summary, then Numerator, Denominator, Inclusions, Exclusions, Grain, Dimensions, Owner, Source, Cadence, Open questions. Plain language, under 400 words, no SQL unless asked. Leave out dashboards and tool-specific steps.

Guardrails: Do not invent thresholds, targets or source table names; mark them "to confirm". If the definition depends on accounting policy, tax rules or a regulatory standard, say so and tell the user to confirm with finance or compliance. Flag every assumption.

Example: metric_name: "active customer"; business_question: "how many customers purchased in the last 90 days?"; data_sources: orders table and CRM.