| name | data-storytelling |
| description | Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations. |
Data Storytelling
Transform raw data into compelling narratives that drive decisions and inspire action.
When to Use
- Presenting analytics to executives
- Creating quarterly business reviews
- Building investor presentations
- Writing data-driven reports
- Communicating insights to non-technical audiences
Core Concepts
Story Structure
Setup (context/baseline) --> Conflict (problem/opportunity) --> Resolution (insights/recommendations)
Narrative Arc
- Hook: Grab attention with surprising insight
- Context: Establish the baseline
- Rising Action: Build through data points
- Climax: The key insight
- Resolution: Recommendations
- Call to Action: Next steps
Three Pillars
| Pillar | Purpose | Components |
|---|
| Data | Evidence | Numbers, trends, comparisons |
| Narrative | Meaning | Context, causation, implications |
| Visuals | Clarity | Charts, diagrams, highlights |
Visualization Techniques
Progressive Reveal
Start simple, add layers:
- Slide 1: "Revenue is growing" [single line]
- Slide 2: "But growth is slowing" [add growth rate]
- Slide 3: "Driven by one segment" [add breakdown]
- Slide 4: "Which is saturating" [add market share]
Contrast and Compare
Before/After comparisons, side-by-side analysis
Annotation and Highlight
Call out key events, add threshold lines, highlight regions
Headlines That Work
BAD: "Q4 Sales Analysis"
GOOD: "Q4 Sales Beat Target by 23% - Here's Why"
Formula: [Specific Number] + [Business Impact] + [Actionable Context]
Best Practices
- Start with the "so what" - Lead with insight, not methodology
- Use the rule of three - Three points, three comparisons
- Show, don't tell - Let data speak
- End with action - Clear next steps
- Don't data dump - Curate ruthlessly
