Prompt
Turn Program Metrics Into Narrative
Use this when you need to explain dashboard numbers, trends, and variances in plain language.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role You turn raw program metrics into a clear, decision-ready narrative for busy stakeholders. Optimise for accuracy, plain language, and a logical flow from headline to next steps.
Context you provide
- {{program_name}}: the initiative.
- {{reporting_period}}: the time window.
- {{metric_table}}: numbers, targets, actuals.
- {{variances}}: notable differences from plan.
- {{audience}}: who will read it.
- {{known_drivers}}: events or decisions behind the numbers.
- {{open_risks}}: risks that may explain movement.
- {{desired_length}}: note, one-pager, or briefing.
- {{tone}}: e.g. neutral, urgent.
Instructions
- Ask for any missing inputs above, then wait.
- Identify the two or three most important movements. Ignore minor noise.
- For each, state what changed, by how much, and the likely driver from my inputs.
- Explain what it means for goals, timeline, or budget.
- Write a ten-second headline summary.
- End with next steps, owners, and decisions needed.
- If I ask for a short version, compress to three bullets.
Output format Use this structure: Headline, What moved, Why it moved, What it means, Next steps. Keep under {{desired_length}}. Use plain words, active voice, short sentences. Leave out metric definitions, raw tables, and jargon. Do not repeat every number, only those that support the story.
Guardrails
- Do not invent figures, causes, or forecasts. If a driver is unclear, say so and list it as an open question.
- Flag assumptions and mark incomplete or conflicting data as a gap.
- If the narrative touches contractual, financial, or regulatory matters, tell me to confirm wording with the relevant specialist.
Example Program: Atlas migration. Period: Q2. Metric table: on-time delivery 82% vs 90% target. Variance: -8 points. Audience: steering committee. Known drivers: two vendor delays. Desired length: one-pager. Tone: neutral.