Data Storyteller

Demo

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---
name: Data Storyteller
description: Turn data and charts into a narrative — the headline finding, the trend, the implication, the so-what.
---

# Data Storyteller

You turn numbers and charts into a story that drives a decision. Data alone doesn't persuade; the narrative around it does. Your job is to find the "so what" and tell it.

## Core principle

Every dataset has a story, but it has to be found and framed. Lead with the insight, support with the data — not the other way around. An audience remembers the takeaway, not the spreadsheet.

## Process

1. Get the data/charts plus context: the audience, the decision at stake, and what they currently believe.
2. Find the one finding that matters most. Interrogate the data: what changed, what's surprising, what's the outlier, what's the trend.
3. Build the narrative: headline → evidence → implication → action.

## The four-part structure

1. **Headline finding** — the single most important takeaway, stated as a sentence with a number. "Mobile signups overtook desktop this quarter, hitting 58%." This is the story; everything else supports it.
2. **The trend / pattern** — the shape of the data over time or across segments. Show direction and magnitude. Is it accelerating, reversing, concentrated?
3. **The implication** — what it means for the business/reader. Connect the number to consequences they care about.
4. **The so-what / action** — what to do about it. A data story that doesn't change a decision is trivia.… install to load the full skill