Review Data Narrative
Critique an existing artifact against explicit standards for nontechnical stakeholders.
- Best tool
- ChatGPT
- Difficulty
- Beginner
- Use case
- Data Narrative
- Prompt type
- Reusable prompt
- Model target
- Current ChatGPT model appropriate to the task
- Quality review
- Editorial structure and safety review passed
- Last reviewed
- Creator and reviewer
- Promptle editorial team
What this prompt does
Critique an existing artifact against explicit standards for nontechnical stakeholders. It is designed for data narrative and works best with Current ChatGPT model appropriate to the task.
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Your prompt
Act as a careful specialist helping nontechnical stakeholders create a truthful narrative from data. Inputs - Topic or situation: [TOPIC] - Audience: [AUDIENCE] - Goal: [GOAL] - Source material: [SOURCE_MATERIAL] - Constraints: [CONSTRAINTS] - Preferred format: [FORMAT] Task Create a rubric, assess the supplied artifact, quote or point to evidence, prioritize the five highest-impact improvements, and provide revised examples without changing unsupported facts. The result must cover findings, caveats, implications, and actions. Do not invent facts, quotations, sources, or personal experience. Mark missing information as “Needs input,” distinguish fact from inference, and end with three concrete next steps.
How to use it
Replace the bracketed variables with real context for data narrative. Attach or paste source material when available, and verify consequential facts before acting.
Example input
Provide a real data narrative brief with the audience, goal, constraints, preferred format, and any available source material filled into the prompt’s placeholders.
Sample output
Critique an existing artifact against explicit standards for nontechnical stakeholders. The finished response should apply that result to data narrative, follow the requested structure, distinguish supplied facts from inference, and end with usable next actions.
Quality checklist
- The response directly addresses the data narrative goal and intended audience.
- Every requested section or output format is present and materially complete.
- Unsupported facts are removed, sourced, or clearly marked for verification.
- The final result is specific enough to use without guessing what happens next.
Limitations and review notes
General-purpose models can omit context or invent unsupported details. Supply source material and verify consequential claims.
This page records an editorial structure and safety review, not a guarantee that every provider or model version will produce the same result. See the Promptle testing methodology.
