✅ SayPro Consumer Insight Categorization Sheet
Use this sheet to log each insight, apply SayPro’s classification system, and ensure consistency across research outputs.
🧾 Sheet Structure
Insight No. | Insight Statement | Main Category | Subcategory | Target Consumer Group | Behavior Type | Motivation Driver | Insight Source | Reviewed By | Upload Status | Date |
---|---|---|---|---|---|---|---|---|---|---|
001 | Consumers are more likely to trust AI-generated product recommendations | Technological | AI Trust | Millennials | Purchase Decision | Perceived Accuracy | GPT Prompt 001 | E. Mataban | ✅ Uploaded | 2025-06-09 |
002 | Eco-conscious buyers respond positively to sustainable packaging | Environmental | Packaging & Branding | Eco Shoppers | Brand Loyalty | Environmental Values | GPT Prompt 002 | E. Mataban | ✅ Uploaded | 2025-06-09 |
003 | Young adults prefer flexible payment models for online shopping | Economic | Financial Flexibility | Gen Z | Purchase Motivation | Budget Control | GPT Prompt 004 | E. Mataban | ⏳ Pending | 2025-06-09 |
📂 Column Descriptions
- Insight No.: Unique ID (e.g., 001–100).
- Insight Statement: Clear, research-derived or GPT-generated consumer insight.
- Main Category: Core dimension (Psychological, Cultural, Technological, etc.).
- Subcategory: Refined focus (e.g., Brand Perception, Green Consumption, Subscription Fatigue).
- Target Consumer Group: E.g., Seniors, Youth, Rural Consumers, Middle-Class Families.
- Behavior Type: E.g., Buying Decision, Loyalty Behavior, Information-Seeking.
- Motivation Driver: Key influence (e.g., Convenience, Emotion, Price, Social Proof).
- Insight Source: GPT Prompt ID, Research Code, Survey ID, etc.
- Reviewed By: Name of the SayPro staff/researcher who validated the insight.
- Upload Status: ✅ Uploaded / ⏳ Pending / ❌ Not Approved.
- Date: When insight was classified and entered.
🔍 Bonus: SayPro Categorization Filters
You can create dropdowns for:
- Main Category: Psychological, Social, Technological, Cultural, Environmental, Economic
- Behavior Type: Pre-purchase, Purchase, Post-purchase
- Motivation Driver: Utility, Emotion, Belief, Habit, Cost
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