Data Storytelling

--- 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 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