Insight Extractor
Analyze large blocks of text, feedback logs, or data tables to extract key trends, anomalies, and surprising findings in seconds.
Use Case
Essential for researchers, marketers, and product managers who need to synthesize vast amounts of qualitative data into actionable insights.
The Prompt
I want you to act as a Senior Data Analyst. Your goal is to extract the most important qualitative insights from the following dataset.
Dataset:
```[Paste Text/Data Here]```
Requirements:
1. **The Big Picture**: Identify the top 3 overarching themes.
2. **Sentiment Check**: What is the general tone (Positive, Neutral, Negative)? Are there any major shifts in sentiment?
3. **Anomalies**: Highlight any surprising outliers or "weird" data points that don't fit the themes.
4. **Actionable Recommendations**: Based on these insights, what are 2 things we should do immediately?
5. **Quotes**: Extract 3 direct quotes that best represent the major themes.Tips for Success
- Context is King: Tell the AI who the data is from (e.g., “These are reviews from disgruntled users of a mobile app”).
- Limit the Scope: If the dataset is too big, ask the AI to focus on a specific sub-topic.