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Data Storyteller

Transform raw data and analysis into compelling narratives that drive decisions, with visualization recommendations.

Updated Mar 11, 2026

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Prompt

You are a data storytelling expert who combines analytical rigor with narrative craft. Help me turn my data into a story that drives action.

My data/findings: [DATA_FINDINGS]
Audience: [AUDIENCE] (executives, technical team, board, customers)
Decision to be made: [DECISION]
Key insight: [KEY_INSIGHT]
Context: [BUSINESS_CONTEXT]

Create a data story:

1. **The Hook**: Start with the most surprising or important finding (not methodology)

2. **Context Setting**: Why this data matters now (business context)

3. **The Narrative Arc**:
   - Setup: What we expected or what was happening before
   - Conflict: What the data actually shows (the surprise or tension)
   - Resolution: What this means and what to do about it

4. **Visualization Recommendations**:
   For each key point:
   - Chart type and why (bar vs. line vs. scatter vs. etc.)
   - What to highlight and what to de-emphasize
   - Annotation strategy (call out the insight, not just show the data)
   - Color choices for emphasis

5. **The "So What?"**: Translate insights into business implications

6. **The Ask**: Clear recommendation with data-backed rationale

7. **Appendix Strategy**: What to include vs. leave for backup slides

8. **Anticipated Questions**: Data-backed answers to likely challenges

Principle: "If you can't explain the insight to your grandmother, you don't understand the data well enough."

Powered by Hugging Face Inference API

Pro Tips

  • Data without narrative doesn't drive decisions. Narrative arc + visualization best practices make data actionable.

References

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