SayPro Extract topic lists from GPT using specific prompts related to market fit, customer analysis, and economic impact. Each prompt should generate a minimum of 100 relevant topics, focused on SayPro’s operational context.
SayPro Task – Topic Extraction from GPT for June SCRR-21
Project: SayPro Monthly Market Fit Review – SCRR-21
Department: SayPro Economic Impact Studies Research Office
Oversight: SayPro Research Royalty
SayPro Task Objective:
To generate comprehensive topic lists using GPT-powered prompt engineering, focused on:
- Market fit analysis
- Customer behavior and needs
- Economic impact and outcomes
Each GPT prompt must generate at least 100 unique, relevant, and SayPro-contextualized topics to feed into qualitative coding, research report writing, and strategy refinement.
SayPro Step-by-Step Execution Plan:
1. 🧾 Define Prompt Categories
You will create and run prompts in the following 3 categories:
| Category | Prompt Focus Example |
|---|---|
| Market Fit | Product-service alignment, perceived value, customer satisfaction drivers |
| Customer Analysis | Client needs, pain points, usage behaviors, adoption patterns |
| Economic Impact | Tangible ROI, efficiency gains, employment creation, skills development |
2. ✍️ Sample Prompts to Use with GPT
You will use these sample prompts (modified and expanded as needed):
A. Market Fit Prompt Example
“List 100 detailed topics to research how well SayPro’s digital services meet the needs of SMEs, NGOs, and government clients across Africa. Focus on feature relevance, platform accessibility, and user satisfaction.”
B. Customer Analysis Prompt Example
“Generate 100 topics related to SayPro’s customer profiles, service usage behavior, training needs, digital literacy levels, and barriers to product adoption in rural and urban settings.”
C. Economic Impact Prompt Example
“List 100 research topics that explore SayPro’s economic impact on job creation, operational cost savings, skills transfer, and income generation across different regions and client segments.”
3. 🧾 Output Format: SayPro Topic Extraction Prompt Log
Each prompt and its response must be logged in the SayPro Topic Extraction Prompt Log Template, with the following fields completed:
| Field | Description |
|---|---|
| Prompt ID | Unique code (e.g. GPT-MF-001) |
| Date Run | When the prompt was submitted |
| Prompt Text | The exact prompt submitted to GPT |
| Category | Market Fit / Customer Analysis / Economic Impact |
| Number of Topics Generated | Should be 100+ |
| Keywords/Themes Noted | High-frequency or repeating themes |
| Research Use Case | How the topics will inform coding, questions, or reports |
| Analyst Notes | Summary of relevance or suggested refinement |
4. 🔍 Quality Review Criteria
Ensure each topic list meets the following:
| Quality Metric | Expected Standard |
|---|---|
| Relevance to SayPro | All topics must tie into SayPro’s services or mission |
| Diversity of Sub-Themes | Include varied themes (UX, pricing, policy, equity) |
| Actionability | Topics should support strategic questions or decisions |
| Clarity | Avoid vague or overly broad categories |
5. 🗓️ Deadlines and Output Requirements
| Task | Quantity | Due Date |
|---|---|---|
| GPT Prompt Executions (3 categories) | 3+ prompts per category × 100 topics = 900+ topics | June 28, 2025 |
| Completed Topic Logs | 9 total (min.) | June 30, 2025 |
| Upload to Archive | SharePoint + Research Archive Tracker | July 1, 2025 |
SayPro Integration With Other SCRR-21 Tasks
The extracted topic lists will:
- Feed into coding structures for qualitative analysis
- Inform survey question development and interview guides
- Identify key dimensions for market fit and impact reporting
- Support monthly strategy presentations and stakeholder insights
SayPro Tools to Use
| Tool | Purpose |
|---|---|
| GPT-4 / ChatGPT Pro | Execute advanced topic prompts |
| SayPro Prompt Log Template | Record all outputs and insights |
| Excel or Airtable | Categorize, tag, and filter topics |
| SayPro SharePoint | Archive final outputs |
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