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    data-storytelling

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    About

    Transform data into compelling narratives using visualization, context, and persuasive structure...

    SKILL.md

    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
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