SayPro Templates to Use

SayPro Topic Extraction Log Template – Records GPT prompt details and extracted topics.

SayPro Topic Extraction Log Template

Purpose:
The SayPro Topic Extraction Log Template is designed to systematically record all critical details related to the extraction of economic impact topics using GPT prompts. This template ensures consistency, traceability, and quality control across the SayPro research teams.

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Key Features and Sections

1. Prompt Details
   • Prompt ID/Version: Unique identifier for the GPT prompt used.
   • Prompt Text: Full text of the prompt submitted to the AI model.
   • Date of Use: Date when the prompt was executed.
2. Researcher Information
   • Name: Full name of the researcher performing the extraction.
   • Researcher ID: Official SayPro researcher identification number.
   • Project/Theme: The specific economic impact research area or project.
3. Extracted Topics
   • Topic Number: Sequential numbering of extracted topics (1 to 100 or as applicable).
   • Topic Title: Clear and concise title for each economic impact topic.
   • Topic Description: Brief description or notes explaining the context or relevance of the topic.
4. Quality Notes and Flags
   • Space for remarks on topic quality, relevance, or potential issues.
   • Flags for duplicates, unclear topics, or topics requiring further review.
5. Submission and Review Status
   • Date Submitted: When the log was uploaded to the SayPro database.
   • Reviewed By: Name/ID of the person conducting quality review.
   • Review Comments: Feedback or suggestions for improvement.

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Usage Guidelines

• Researchers must fill out the template during or immediately after topic extraction to ensure accuracy.
• Use clear and consistent language for topic titles and descriptions.
• Submit completed logs in SayPro-approved formats (XLSX or CSV).
• Maintain a copy for personal records until final submission is confirmed.

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Benefits

• Facilitates standardized data collection and reporting.
• Enhances data integrity and auditability.
• Supports effective collaboration and quality control within SayPro research teams.
• Provides a structured foundation for prompt refinement and research feedback loops.