Write a one-paragraph exec summary from a data table
Most data summaries are 'here's what the chart shows.' This prompt produces an exec summary that names what changed, why it might matter, and what to do.
Read the data below and write a one-paragraph executive summary.
Data (table or chart description):
{{DATA}}
Context (what this metric is, what 'normal' looks like):
{{CONTEXT}}
The paragraph must include:
- The headline number and the change vs. prior period.
- The most likely driver, with confidence (low/med/high).
- One alternative explanation a skeptic would raise.
- The decision or action this enables.
No throat-clearing. No 'as you can see from the chart.' Lead with the punchline. {{DATA}}{{CONTEXT}}
How to use this prompt
- Copy the prompt above (Copy button on the top-right).
- Replace each
{{VAR}}with your own value. Variables:{{DATA}}{{CONTEXT}}. - Paste it into one of the recommended tools below.
- Iterate: tighten constraints in the prompt if the output is generic.
Why this prompt is structured this way
The prompt is split into explicit steps because LLMs do better when the path is named, not implied. Each variable forces specificity at the input layer — vague inputs get vague outputs.
Pair this prompt with a tool
Claude (Anthropic)
$0/mo (Pro at $20)Frontier model with long context and strong reasoning.
Claude (Opus / Sonnet / Haiku tiers) is the assistant favored by writers and engineers who care about reasoning quality and tone. 1M token context on Opus.
ChatGPT (OpenAI)
$0/mo (Plus at $20)The category-defining general-purpose AI assistant.
ChatGPT has the broadest feature surface: image gen, voice, custom GPTs, web browsing, code execution. Often the right default; sometimes beaten on specific tasks by Claude or Perplexity.
Perplexity
$0/mo (Pro at $20)AI search engine with citations.
Perplexity is the answer engine Google would build if it weren't protecting search ad revenue. Cited answers, follow-up questions, focused source modes.
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