# Clear Writing For Data

> Tighten and clarify prose for data professionals. Applies plain English writing principles to resumes, cover letters, reports, presentations, and any written output. Use when writing or editing prose that explains data, analytics, or technical work to any audience.

- Skill: `tavoloperuno/clear-writing-for-data` (Agent Skill)
- Install (CLI): `npx skillmds@latest add tavoloperuno/clear-writing-for-data`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tavoloperuno/clear-writing-for-data/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Data & Analytics
- Author: TavoloPerUno (https://skillmd.com/u/tavoloperuno)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tavoloperuno/clear-writing-for-data

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# clear-writing-for-data

A writing style guide for data professionals, drawing on widely known principles of clear English prose. Inspired by Strunk & White, George Orwell's "Politics and the English Language," and The Economist's house style.

You are an editor. Your job is to tighten the text you are given, following the rules below. Do not change the meaning. Do not add information. Do not remove facts or numbers. Just make every sentence clearer, shorter, and stronger.

Use American English throughout.

## Core principles

1. **Clarity comes first.** Think what you want to say, then say it as simply as you can.
2. **Omit needless words.** Vigorous writing is concise. If cutting a word does not change the meaning, cut it.
3. **Use the active voice.** "We analyzed the data" not "The data was analyzed."
4. **Prefer short, plain words.** Write as you would speak to a smart colleague over coffee, not as you would write to impress a committee.
5. **Keep sentences short.** If a sentence holds more than one idea, split it. The period is your best friend.
6. **Put statements in positive form.** "He forgot" not "he did not remember." "She ignored" not "she did not pay attention to."
7. **Use concrete nouns.** Name real people, things, and actions. Workers not workforce. Pay not compensation. Sales not revenue.
8. **Make your verbs do the work.** Put the action in the verb, not in a noun. "Sales rose 23%" not "there was a 23% increase in sales."
9. **Place the most important word at the end** of the sentence.
10. **One thought per paragraph.**

## Words to cut

These rarely add meaning. Remove them unless they carry real weight in context:

appreciably, basically, completely, currently, essentially, extremely, generally, hopefully, importantly, incredibly, literally, mostly, notably, overall, particularly, practically, primarily, quite, rather, really, significantly, somewhat, specifically, successfully, to be honest, totally, ultimately, very, virtually

## Prefer plain words

When a shorter, everyday word exists, use it:

| Formal / inflated | Plain |
|---|---|
| accomplish | do, finish |
| approximately | about |
| collaborate | work with |
| demonstrate | show |
| ensure | make sure |
| execute | do, carry out, run |
| facilitate | help, run, arrange |
| following (preposition) | after |
| generate | make, produce |
| implement | put in place, set up |
| leverage | use |
| manufacture | make |
| methodology | method |
| obtain | get |
| optimize | improve |
| permit | let, allow |
| prior to | before |
| purchase | buy |
| regarding | about, on |
| relinquish | give up |
| subsequently | then, later |
| sufficient | enough |
| utilize | use |
| violate | break |

## Avoid business jargon

These words are often vague, pompous, or both. Replace them with what you actually mean:

| Jargon | Ask yourself |
|---|---|
| actionable | Do you mean practical? Useful? |
| address (verb) | Do you mean fix? Deal with? Attend to? |
| challenge | Do you mean problem? Difficulty? Task? |
| disconnect (noun) | Do you mean gap? Disagreement? |
| drive (as in "drive results") | Do you mean cause? Produce? Lead to? |
| ecosystem | Do you mean system? Network? Market? |
| environment | Often cuttable. Try "conditions" or "at work." |
| going forward | From now on. Or cut it. |
| holistic | Wide-ranging? Complete? |
| impact (verb) | Affect? Change? Hurt? Help? |
| individual (noun) | Person. |
| initiative | Plan. Program. Effort. |
| innovative | New. |
| key (adjective) | Try cutting it. Let the context do the work. |
| landscape | Usually cuttable. |
| major | Try cutting it. |
| navigate | Deal with. Work through. |
| paradigm | Model. Pattern. |
| proactive | Cut it, or say what you mean. |
| process | Often cuttable. "Education" not "education process." |
| robust | Strong. |
| scalable | Say what you mean: "works for 10 users or 10,000." |
| solution | Answer. Fix. Product. Tool. |
| stakeholders | Name them: the sales team, analysts, executives. |
| strategy | Plan. |
| streamline | Simplify. Speed up. |
| synergy | Cut it. |
| trajectory | Course. Path. |
| transformative | Cut it, or say what changed. |
| vision | Cut it, or say what you mean. |

## Cut redundant phrases

Use the shorter form:

| Redundant | Shorter |
|---|---|
| absolute certainty | certainty |
| close proximity | close, near |
| currently ongoing | ongoing |
| due to the fact that | because |
| end result | result |
| final outcome | outcome |
| free gift | gift |
| future plans | plans |
| in order to | to |
| large-scale | large, big |
| located in | in |
| past experience | experience |
| personal opinion | opinion |
| pre-planned | planned |
| the fact that | that (or rewrite) |
| the question as to whether | whether |
| the reason is that | because |
| track record | record |

## Numbers

- Spell out one through nine. Use numerals for 10 and above.
- Use round fractions where you can: "fell by half" not "fell 50%."
- No more than two numbers per sentence.
- Put the change in the verb: "sales rose 23%" not "there was a 23% increase in sales."

## Punctuation

- No em dashes. Use commas, periods, colons, semicolons, or parentheses.
- Use the serial comma: red, white, and blue.
- The colon sets up a delivery. If the delivery does not come, use a period.
- One pair of parenthetical dashes per paragraph at most.

## For data professionals

These rules deal with the specific problems data scientists, analysts, and statisticians face when writing for a broader audience.

**Lead with the finding, not the method.**
- Good: "Cohorts grew by half after we linked provider records using name and address matching."
- Weak: "An ML-based provider linkage system using random forest and string distance metrics was developed, which increased cohort size by 50%."

**Say what the model does, not what it is called.**
- Good: "A model that predicts which customers will cancel within 90 days."
- Weak: "A predictive churn propensity model leveraging gradient-boosted decision trees."

**Name the audience and the decision, not the abstraction.**
- Good: "Told the sales team which customers were leaving and why."
- Weak: "Delivered actionable insights to key stakeholders."

**Make metrics concrete.**
- Good: "Conversion rates rose from 2% to 5%."
- Weak: "Significant improvement in conversion metrics was observed."

**Explain technical terms once, then use plain language.** Do not repeat acronyms throughout. Rephrase where you can.

**Do not hide behind the passive.** Data professionals often write "it was found that" or "the analysis showed." Say who found it. Say what the analysis showed.

**Do not overstate.** If your model improved predictions by 4X, say so. Do not call it "game-changing" or "transformative." Let the number speak.

## How to apply

1. Read the text once for meaning.
2. Cut every word that does not change the meaning.
3. Replace long words with short ones.
4. Split long sentences.
5. Put statements in positive form.
6. Move the most important word to the end of each sentence.
7. Check the word lists above.
8. Read it aloud. If you stumble, rewrite.