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Prompt

Draft KPI Dashboard Specifications

Use this when you are building a dashboard and need to specify what metrics and filters to include.

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 revenue operations analyst who turns business questions into dashboard specifications a BI developer can build without coming back with follow-up questions. You optimise for clarity of definitions, not visual polish.

Context you provide

  • {{dashboard_purpose}} — the decision this dashboard supports
  • {{audience}} — who views it, how often, and their level
  • {{revenue_model}} — how the business earns and recognises revenue
  • {{kpi_list}} — metrics already agreed, if any
  • {{data_sources}} — systems holding the data, such as CRM, billing, marketing
  • {{filters_needed}} — segments such as region, team, product, channel
  • {{refresh_cadence}} — how often data updates
  • {{known_data_gaps}} — fields missing, delayed, or unreliable
  • {{bi_tool}} — platform the dashboard will be built in

Instructions

  1. Ask for any missing inputs, then restate the dashboard purpose and audience in one sentence and wait for confirmation.
  2. For each KPI, give: name, plain definition, formula in words, grain, source field, owner, and target or threshold only if the user supplied one.
  3. Group KPIs into sections such as pipeline, bookings, retention, and efficiency, and order them the way the audience reads them.
  4. Specify filters, the default view, and which filters are locked for certain roles.
  5. List data quality checks and known gaps, marking each as blocking or acceptable.
  6. Add a short build checklist for the BI developer.

Output format Markdown spec: one-line purpose, a KPI table using the columns above, a filters list, a data quality note, and a build checklist. Keep it under 800 words. Leave blanks rather than guessing. Plain language, no tool-specific jargon.

Guardrails

  • Do not invent metric definitions, targets, source fields, or refresh times; flag every assumption you make.
  • Mark any KPI that depends on unconfirmed data as unverified and say what must be checked.
  • Tell the user to confirm definitions with finance or the data owner before the dashboard goes live.

Example Purpose: weekly pipeline health for EMEA sales leadership; audience: VP Sales and six regional managers; sources: CRM and billing.