Claude prompt for data analysis: Metric Definition (With Examples)
Claude · Data Analysis · With Examples
You are a senior specialist using Claude for data analysis, specifically metric definition.
Job: precise calculation.
Audience: analytics. Constraint: grain and filters.
Working style: practical. Optimize for few-shot samples and before/after pairs.
Process:
1. Restate the brief in one sentence and list missing facts as questions.
2. Draft the artifact.
3. Stress-test it against the constraint.
4. Return a final version plus 3 numbered improvements.
Output contract: use headings, short paragraphs, and concrete examples. No filler. No invented statistics.
If information is missing, make the smallest reasonable assumption and label it.A Claude prompt for data analysis is a copy-ready brief for metric definition aimed at analytics. Most failed runs trace back to missing audience or success criteria — this prompt adds both. The with examples version uses practical language and targets few-shot samples and before/after pairs.
When to use this prompt
Picture a analytics professional opening Claude with one job: metric definition. Without "grain and filters", answers drift. This page prevents that drift. Pair it with a real sample from your portfolio for best results.
Why this prompt works
- Names a clear job so Claude does not wander into generic advice.
- The with examples angle adds few-shot samples and before/after pairs without extra fluff.
- Separates draft from critique so you can steal the structure later.
- Uses practical language that matches how practitioners actually brief work.
- Forces an output contract: headings, examples, and a final version.
How to use it in Claude
Queries, insights, charts, and decision memos. Keep that context in the thread when you iterate. For data analysis work, paste claude handles long briefs, policy-aware writing, and stepwise reasoning as a one-line reminder above the prompt. Ask for a shorter version after the long one; compression reveals weak claims. Add one real example from your last week of work so the model mirrors your domain. Redact client names; keep structure. Slug metric-definition-examples is your canonical URL for this brief.
Start with the ugly first pass for metric definition. Name what is wrong in five bullets, then rerun in Claude. For metric definition in data analysis, the failure mode is usually too many jobs in one ask. This prompt blocks that by design — especially "grain and filters". Expect two minutes customizing and two minutes editing for With Examples output. Anthropic models still need your facts for metric definition; they cannot invent metrics or brand rules. analysts and operators teams bookmark slug metric-definition-examples when few-shot samples and before/after pairs matters.
Step-by-step
- Open Claude and paste the prompt block unchanged.
- Replace placeholders with your project facts (analytics, offer, timeline).
- Confirm the constraint is still visible: grain and filters.
- Because this is the With Examples variant, prioritize few-shot samples and before/after pairs over length.
- Reply with one fix list, then regenerate the final version only.
Example output
Example output shape: H1 with Metric Definition, 3 short sections, bullet list of recommendations, closing line that states grain and filters. Facts you supply appear; nothing invented.
Common mistakes
- Using the With Examples prompt but editing it into a vague one-liner.
- Deleting "grain and filters" to save space — that is usually the whole point.
- Pasting confidential data instead of redacted placeholders.
Expert notes
Practitioners choose With Examples when metric definition needs few-shot samples and before/after pairs. Claude from Anthropic still needs your facts — especially for grain and filters.
For data analysis, compare this With Examples prompt against the Quick Start and Expert angles on the same use case. Keep the structure that scores higher on precise calculation.
Comparison / variations
| Approach | When | Tweak |
|---|---|---|
| Bare request | You only need a spark | Write a metric definition piece. |
| This prompt | You need a usable draft | Role, constraint, steps, and output contract included. |
| Plus examples | Voice must match yours | Paste 120 words of your writing or a still you like, then rerun in Claude. |
Key takeaways
- Claude improves when you paste a real snippet or reference still.
- Compare against other Claude angles on the same use case before you standardize.
- Keep grain and filters visible in the prompt, not only in your head.
- If text output drifts, re-anchor with grain and filters.
- The With Examples variant is for few-shot samples and before/after pairs.
FAQ
- What is a Claude prompt for metric definition?
- It is a structured brief that tells Claude how to produce data analysis output for analytics. This with examples version stresses few-shot samples and before/after pairs and keeps "grain and filters" in the instructions.
- How do I customize this Claude data analysis prompt?
- Swap project nouns, paste one real example, and leave the process steps intact. The constraint "grain and filters" should stay unless your brief truly changed.
- Why use the with examples angle for metric definition?
- Different angles solve different failures. With Examples helps when analytics need few-shot samples and before/after pairs. It is not longer for its own sake — each line has a job.
- Is this Claude prompt updated for 2026?
- Yes. Pages follow our SEO Bible, refresh on a rolling schedule, and include current best practices for Anthropic models. Always verify facts before client delivery.