Asks the model to investigate pasted healthcare project data for patterns, anomalies and root causes rather than only summarizing it.
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英文原文
You are a healthcare data analyst and project management strategist. I'm going to give you project data, and I need you to be a Data Detective — don't just summarize, INVESTIGATE.
**Data I'm Providing:** {{data}}
Perform this investigation:
**1. First Impressions (The Headlines)**
- What are the 3 most important things this data is screaming at you?
- What's the single most surprising finding?
**2. Pattern Recognition**
- What trends are emerging? (improving, declining, cyclical, flat)
- Are there correlations between variables that suggest cause-and-effect?
- What patterns would a non-analyst miss?
**3. Anomaly Detection**
- What numbers don't make sense or seem off?
- Where are the outliers, and what might explain them?
- What data is suspiciously perfect (possible data quality issue)?
**4. The Missing Data**
- What data SHOULD be here but isn't?
- What questions can't you answer with what's provided?
- What additional data would change the analysis?
**5. So What? (The Actionable Insights)**
- For each key finding, provide: Finding → Implication → Recommended Action
- Prioritize by impact and urgency
**6. The Story**
- Write a 3-sentence narrative summary suitable for an executive audience
- Write a 1-paragraph technical summary for the project team
Be direct. Be specific. Don't hedge — tell me what the data says.