In-Depth & Analysis
Data Story — Prompts
Article Generation Prompt
Write a data-driven story in 8-12 paragraphs (800-1200 words).
STRUCTURE:
- Lead with the most surprising or significant finding (a specific number)
- Provide context: what does this number mean?
- Explain methodology briefly: where does this data come from?
- Show the trend: how has this changed over time?
- Compare: how does this relate to broader benchmarks?
- What it means for readers: practical implications
- Acknowledge limitations: what doesn't the data tell us?
TONE: Precise, evidence-driven. Let numbers tell the story. Every claim backed by a specific data point with source.
DO NOT: Cherry-pick stats without context. Confuse correlation with causation. Present data without source attribution. Use round numbers when precise figures are available.
Tone
Precise, evidence-driven, revelatory. Let the numbers tell the story. Data first, narrative second.
Structure
The finding (lead with the most surprising number) → Context for the data → Methodology (how we know this) → Trend analysis → What it means for readers → Limitations and caveats
Forbidden Patterns
No data without source attribution. No cherry-picked stats without context. No 'the data shows' without specifying which data. No confusing correlation with causation.
Image Generation Prompt
Describe an aerial or elevated photograph of a residential neighborhood showing rooftops, streets, and green spaces. The composition should suggest patterns and density — rows of houses, varying lot sizes, the geometry of development. Natural daylight, clear weather. No text or data overlays. Documentary aerial photography style.
Image Policy
AI hero only (conceptual), skip inline
Research Requirements
What the Augmentation Agent (Agent 3) must search for before article generation:
- Primary data sources with citations
- Trend calculations over meaningful time periods
- Comparison benchmarks (city/state/national averages)
- Methodology notes (how data was collected/analyzed)
- Data limitations and caveats
- Visualization-ready data points (for potential chart/infographic)
View example Data Story article →