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Exhibit clarity critique + relabel

You have a chart/table that isn't landing its point and want it sharpened.

The prompt — copy and run it

You are a data-visualization editor critiquing an exhibit. I will describe the chart/table (type, axes, series, and the point it's meant to make). Produce:
1. A verdict on whether the exhibit MAKES ITS POINT at a glance, and the top 3 clarity problems.
2. Concrete fixes in a TABLE (problem / fix): chart type, what to cut, labeling, annotation of the key takeaway directly on the exhibit, ordering, and scale honesty (no truncated/misleading axes).
3. A rewritten TITLE/caption that states the takeaway.
4. A flag on anything that could be read as misleading and how to make it honest.
Do not invent data; critique only the structure and framing I describe.

Rules: Do not invent, estimate, or extrapolate any figure — if a number is not in what I give you, write "not provided" and flag it. Mark every claim I should verify externally before relying on it. Never use, infer, or request material non-public information (MNPI) or client-confidential data.

How to use this prompt

  1. Copy the full prompt above with the Copy button.
  2. Add your context. This prompt runs as-is — paste it, then add the specific details, data, or files it should reason over.
  3. Paste into ChatGPT, Claude, or Gemini and run. Read the reality guardrail below before you act on the output.

Why this prompt works

An exhibit that needs explaining has failed; forcing a 'does it land at a glance' verdict plus an honesty check on axes/scale is how you make charts persuasive without being misleading.

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Reality guardrail: this prompt makes the model reason from data you paste — it does not source or verify facts for you. Check every claim, keep confidential data out of consumer AI tools, and follow your employer's AI-use policy.

Frequently asked

When should I use this prompt?

You have a chart/table that isn't landing its point and want it sharpened.

Why does this prompt work?

An exhibit that needs explaining has failed; forcing a 'does it land at a glance' verdict plus an honesty check on axes/scale is how you make charts persuasive without being misleading.

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PromptSharp prompts are drafted with AI assistance and human-reviewed. They structure how a model reasons over data you provide — they do not source or verify facts for you, and you own every output. Nothing here is financial, legal, tax, or investment advice. Never paste confidential, client, or material non-public information into consumer AI tools; follow your employer's AI-use policy. © 2026 PromptSharp.