Data Storytelling Distiller (Insights → Impact)

Transform this analysis into a story that will convince stakeholders to care and act.

RAW ANALYSIS:
The data/analysis: {ANALYSIS}
Sample size: {SAMPLE}
Time period: {PERIOD}

CONTEXT:
Who's the audience: {AUDIENCE}
What do they care about: {GOALS}
What's the business impact: {IMPACT}
What decision should this influence: {DECISION}

TURN THIS INTO A COMPELLING NARRATIVE:

HEADLINE (what really matters here)
[One sentence capturing the insight]

THE CONTEXT (why should they care NOW)
[Paragraph setting up relevance]

THE INSIGHT (in plain English)
[Explain what the data shows, why it's noteworthy]

THE EVIDENCE (here's the data backing this up)
[Specific numbers with comparisons for perspective]
- [Number] compared to [baseline/industry/previous]
- [Number] meaning [what it represents]
- [Number] showing [the change]

WHY THIS MATTERS (so what?)
[How this connects to their goals]
[What's the opportunity or risk]
[Why timing matters]

ANTICIPATED OBJECTIONS & RESPONSES
Q: Skeptic might ask: "[Skeptical question]"
A: "[Direct, evidence-based response]"

[Address 2-3 key objections]

THE RECOMMENDATION
[Clear, specific call-to-action]
[What success looks like]
[Timeline if applicable]

ONE SUPPORTING VISUAL
[Describe a single chart/graph that captures this insight—clarity over complexity]

Data points: {DATA}
Audience: {AUDIENCE}