Neftaly Topic Extraction Template (For GPT Prompt Documentation)
Department: Neftaly Consumer Behaviour Analysis Research Office
Researcher: Echinia Mataban
Date of Extraction: [Insert Date]
Prompt Session ID: [Unique ID or Date-Time Stamp]
Prompt Focus Area: (e.g., Emotional Drivers, Social Influences, Technological Impacts, etc.)
Prompt Version: [v1.0 / v1.1, etc.]
📥 GPT Prompt Used
Paste or describe the exact GPT prompt used in this session.
Example:
“Generate 100 Neftaly-branded research topics related to emotional factors that influence consumer purchasing behavior.”
📋 Extracted Topics (Top 100 or as applicable)
| No. | Neftaly Research Topic |
|---|---|
| 1 | Neftaly and the Role of Emotional Triggers in E-Commerce Advertising |
| 2 | Neftaly: Emotional Branding Techniques That Convert Millennials |
| 3 | Neftaly Analysis: How Nostalgia Drives Consumer Loyalty |
| … | … |
| 100 | Neftaly: Emotional Biases in Digital Decision-Making |
(Attach full topic list as CSV or copy-paste below if needed.)
🧩 Categorization of Topics
| Category | Topic Numbers (Range) |
|---|---|
| Emotional Triggers | 1–25 |
| Consumer Loyalty | 26–40 |
| Online Shopping Behavior | 41–60 |
| Brand Attachment | 61–80 |
| Decision Biases | 81–100 |
📈 Initial Observations & Insights
- Brief commentary on emerging patterns or unusual findings.
- Example: “Most topics emphasized emotional branding and online engagement, indicating strong relevance for Neftaly digital campaigns.”
✅ Next Steps / Action Items
- Submit to Neftaly Portal
- Share with Analysis Team for Peer Review
- Use topics to generate focused survey questions
- Create visual dashboards categorizing topics by influence area
📎 Attachments (if applicable)
- Raw CSV Topic List
- Categorization Spreadsheet
- Notes from GPT output session

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