SayPro Organise and analyse 100 GPT prompt results per submission.

1. Data Organisation Structure

• Spreadsheet or Database:
  • Create a structured sheet or database table with these columns:
    • Prompt ID
    • Prompt Text
    • GPT Response
    • Category/Theme
    • Sentiment (if applicable)
    • Key Insights / Summary
    • Relevance Score (optional)
    • Tags / Keywords
    • Date of Submission

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2. Step-by-Step Workflow

Step 1: Collect and Import Data

• Upload or import the 100 GPT prompt results per submission into your spreadsheet/database.

Step 2: Categorisation & Thematic Analysis

• Automatically or manually assign categories/themes for each response (e.g., Customer Experience, Product Feedback, Marketing Ideas).
• Use keyword detection or clustering tools to assist grouping similar prompts.

Step 3: Sentiment Analysis

• Run sentiment analysis (positive, neutral, negative) on responses where relevant to gauge user attitudes.

Step 4: Key Insights Extraction

• Summarise or highlight core findings from each response, focusing on actionable points or recurring patterns.

Step 5: Scoring & Prioritisation

• Assign relevance or priority scores to rank responses by importance or impact.

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3. Tools & Automation Suggestions

• Use spreadsheet functions (Excel/Google Sheets) for tagging, sorting, and filtering.
• Use Python scripts or NLP tools (e.g., Hugging Face Transformers, NLTK) for automated sentiment and keyword extraction.
• Consider lightweight automation tools like Zapier or Make to link GPT prompt submissions to your data system.

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4. Example Template

Prompt ID	Prompt Text	GPT Response	Category	Sentiment	Key Insight	Relevance	Tags	Date
001	How do customers feel about…	“Most users appreciate…”	Customer Feedback	Positive	Users appreciate quick support	8/10	Support, Speed	2025-06-17

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If you want, I can help create:

• A ready-to-use spreadsheet template for your submissions
• A Python script to automate analysis of the prompt results
• A workflow plan for integration with SayPro’s data systems