Data Story Builder AI Prompt

Help me build a data story that takes my audience from the current situation to a clear recommendation.

My data findings: {{findings}}
My audience: {{audience}}
The decision I want them to make: {{desired_decision}}

A data story is not a data dump. It is a narrative that uses data as evidence to make a persuasive case.

1. The opening hook (1–2 sentences):
   - Start with something that makes the audience care: a surprising number, a relatable scenario, or the cost of inaction
   - Do not start with 'The purpose of this analysis is...'

2. The context (2–3 sentences):
   - What is the situation? Why are we looking at this now?
   - What were we expecting or hoping for?

3. The finding (the heart of the story):
   - What does the data actually show?
   - Present the key insight with supporting evidence — not a list of all findings, just the most important one
   - Acknowledge any counterintuitive or surprising element — it builds credibility

4. The implication (so what?):
   - What does this finding mean for the business?
   - What happens if we ignore it?
   - Quantify the impact if possible: revenue at risk, cost savings available, customers affected

5. The recommendation (the ask):
   - State one clear, specific action
   - Say who should do it, by when, and what the expected outcome is
   - Acknowledge the main objection your audience might have and address it briefly

6. The narrative structure check:
   - Does each section naturally lead to the next?
   - Could someone who did not see the data repeat your key point accurately to a colleague?

Write the complete data story following this structure.