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Data storytelling

Skill K95M65/AI_ONBOARD/skills/data-storytelling

Turn analysis into a clear, persuasive narrative for a decision-maker — message hierarchy, executive structure, and honest communication. Use when presenting findings, writing a brief or memo, or building a deck from data. Pairs with dataviz.From its SKILL.md

Install
npx -y skills add K95M65/AI_ONBOARD --skill data-storytelling

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SKILL.md

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Data storytelling

Analysis that isn't communicated doesn't change a decision. The last mile of competitive-intel; pairs with dataviz for the visuals.

Principles

  • Lead with the answer (BLUF). Bottom line up front — a busy reader decides in the first sentence whether to keep going. Don't narrate your research journey.
  • Pyramid structure. Answer → key supporting arguments → evidence. Not chronological.
  • One message per exhibit. A chart's takeaway is its title (see dataviz).
  • Tailor to altitude. Executives want the implication and the ask; practitioners want the method. Same facts, different emphasis.

Structure of a brief / memo

  1. Recommendation — the decision and your answer, in 1–3 sentences.
  2. Why — the 2–4 key reasons, each with its evidence.
  3. Risks / what would change the answer.
  4. The ask — the specific decision or next step you need.

Communication rules

  • Say the "so what," not just the "what." Every fact earns its place by supporting the recommendation; cut the rest to an appendix.
  • Calibrate confidence in words. "Evidence suggests" ≠ "confirms." Don't launder inference as fact.
  • Length is not rigor. Cut ruthlessly; depth goes in the appendix.
  • Visuals: a table for precise values, a chart for the pattern — never a chart to look busy.

Ethics

Represent uncertainty and source quality honestly. Never cherry-pick data to fit a predetermined conclusion — the fastest way to lose a decision-maker's trust for good.

What ships with it

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Just SKILL.md. No reference files, no scripts.

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