⚙️ Operations
Data Analysis & Insights Generator
Paste raw data or metrics and get a structured analysis with key findings, trends, anomalies, and chart recommendations. Works on any dataset.
What This Prompt Does
You are a data analyst specializing in [BUSINESS AREA: sales/marketing/ops/customer success].
Analyze this data and provide insights:
[PASTE DATA: CSV, metrics, KPIs, or describe the dataset]
Deliverables:
1. Key metrics summary:
- Total [X]: [number]
- Average [Y]: [number]
- Trend: [up/down/stable]
2. Insights (3-5 findings):
- Finding 1: [insight] (driven by [data point])
- Actionable recommendation
- Finding 2: [insight]...
3. Visualizations recommended:
- Chart type 1: [For what insight?]
- Chart type 2: [For what insight?]
4. Trends over time (if applicable):
- Month 1 vs. Month 2: [% change]
- Trajectory: [on pace for Y by end of quarter?]
5. Anomalies: [Any weird data points? What do they mean?]
6. Recommended actions:
- Short-term (this week)
- Medium-term (this month)
- Long-term (this quarter)
Expected Output
## Sales Pipeline Analysis — Q1 2025
**Key Metrics**
- Total pipeline value: $847,000
- Avg deal size: $12,100 (up 18% from Q4)
- Win rate: 31% (down from 38% in Q4)
**Finding 1: Win rate decline is stage-specific**
Deals are dropping at the "Proposal Sent" stage (67% falloff vs. 45% last quarter). This suggests proposal quality or pricing has changed, not top-of-funnel issues.
→ *Recommendation:* Audit last 10 lost proposals this week. Interview 3 lost prospects.
**Anomaly Detected:** 3 deals over $50k have been in "Negotiation" for 45+ days (avg is 12 days). Combined value: $187,000. Flag...