Find credible statistics and sources for my article
A sourced table of data points for your piece, rated by confidence, plus gaps, caveats, and where to dig further.
The prompt
Help me find credible data points to support an article or feature I'm writing.
Topic and angle: [WHAT the piece argues or explores]
Claims I need to support: [LIST the specific points that need evidence]
Audience and publication: [e.g. "trade magazine for HR leaders", "local news feature"]
Geography and time frame: [e.g. "US, last 3 years"]
How many data points: [NUMBER]
Rules:
- Never invent a statistic, study, or source. If you can browse, give the source name, publisher, date, and link for every figure. If you can't browse, or aren't sure a figure is accurate and current, say so and mark it [VERIFY], or tell me where to find it instead.
- Prefer primary sources (government statistics, peer-reviewed research, official reports, company filings) over blogs and roundups that repeat numbers.
- Note sample size, method, and who funded the research where it matters.
Return:
1. Data table: Claim it supports | Statistic | Source and date | Source type | Confidence (high/medium/low) | Caveats.
2. Trend or comparison: one or two figures that show change over time or a useful comparison, if solid ones exist.
3. Where to dig further: the databases, agencies, or organizations most likely to hold better data on my topic.
4. Gaps: claims I can't support well yet, and how to reword them so they stay accurate.
5. Interview leads: the types of experts who could add original quotes or data.
Remind me to check every figure against its original source before publishing.
Highlighted [brackets] are blanks to replace with your own details.
Fill in the blanks and use this promptMore Research & Summaries prompts
What to fill in
- WHAT the piece argues or explores
- LIST the specific points that need evidence
- e.g. "trade magazine for HR leaders", "local news feature"
- e.g. "US, last 3 years"
- NUMBER
How this prompt is built
This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.
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