---
id: gh-data-storytelling
name: "data-storytelling"
url: https://skills.yangsir.net/skill/gh-data-storytelling
author: wshobson
domain: data-analysis
tags: ["data-storytelling", "data-visualization", "analytics-communication", "business-intelligence", "data-presentation"]
install_count: 11800
rating: 4.50 (120 reviews)
github: https://github.com/wshobson/agents/tree/main/plugins/business-analytics/skills/data-storytelling
---

# data-storytelling

> 将原始数据转化为引人入胜的叙事，通过可视化、上下文和说服性结构，有效传达数据洞察。适用于向高管展示分析结果、创建业务报告或制作投资者演示文稿，帮助非技术受众理解复杂数据并做出决策。

**Stats**: 11,800 installs · 4.5/5 (120 reviews)

## Before / After 对比

### 提升数据洞察传达效率

**Before**:

面对海量原始数据和复杂图表，非技术受众往往难以快速理解核心洞察，导致决策缓慢或误判。数据报告常沦为数据堆砌，缺乏说服力。

**After**:

运用数据叙事技巧，将复杂数据转化为引人入胜的故事，清晰呈现关键洞察。受众能迅速理解并信任数据结论，加速决策过程，提升报告影响力。

| Metric | Before | After | Change |
|---|---|---|---|
| 洞察理解时间 | 60分钟 | 10分钟 | -83% |

## Readme

# Data Storytelling

Transform raw data into compelling narratives that drive decisions and inspire action.

## When to Use This Skill

- Presenting analytics to executives
- Creating quarterly business reviews
- Building investor presentations
- Writing data-driven reports
- Communicating insights to non-technical audiences
- Making recommendations based on data

## Core Concepts

### 1. Story Structure

```
Setup → Conflict → Resolution

Setup: Context and baseline
Conflict: The problem or opportunity
Resolution: Insights and recommendations
```

### 2. Narrative Arc

```
1. Hook: Grab attention with surprising insight
2. Context: Establish the baseline
3. Rising Action: Build through data points
4. Climax: The key insight
5. Resolution: Recommendations
6. Call to Action: Next steps
```

### 3. Three Pillars

| Pillar        | Purpose  | Components                       |
| ------------- | -------- | -------------------------------- |
| **Data**      | Evidence | Numbers, trends, comparisons     |
| **Narrative** | Meaning  | Context, causation, implications |
| **Visuals**   | Clarity  | Charts, diagrams, highlights     |

## Detailed patterns and worked examples

Detailed pattern documentation lives in `references/details.md`. Read that file when the navigation tier above is insufficient.

## Best Practices

### Do's

- **Start with the "so what"** - Lead with insight
- **Use the rule of three** - Three points, three comparisons
- **Show, don't tell** - Let data speak
- **Make it personal** - Connect to audience goals
- **End with action** - Clear next steps

### Don'ts

- **Don't data dump** - Curate ruthlessly
- **Don't bury the insight** - Front-load key findings
- **Don't use jargon** - Match audience vocabulary
- **Don't show methodology first** - Context, then method
- **Don't forget the narrative** - Numbers need meaning


---
*Source: https://skills.yangsir.net/skill/gh-data-storytelling*
*Markdown mirror: https://skills.yangsir.net/api/skill/gh-data-storytelling/markdown*