SayPro GPT-Based Research & Topic Generation Framework
Goal: Leverage GPT tools (like ChatGPT) to efficiently produce relevant topic lists and background research that support SayPro’s programs, policy work, training content, and advocacy.
1. 📝 TOPIC LIST GENERATION
Use Cases:
- Designing training modules
- Planning monthly research themes
- Creating social media/awareness content
- Supporting proposal development
Sample GPT Prompt Format:
“Generate 50 research and training topics on [theme] for [audience], starting each title with ‘SayPro.’”
Examples:
- “Generate 100 training topics on youth entrepreneurship in Southern Africa.”
- “List 50 discussion themes on gender-based violence for community dialogues.”
✔ Output format:
- CSV or table
- Grouped by sub-theme if needed (e.g. prevention, response, empowerment)
2. 📚 FOUNDATIONAL RESEARCH USING GPT
Use GPT to draft:
- Research briefs
- Background summaries
- Definitions and typologies
- Policy context and frameworks
- Comparative country or regional overviews
Prompt Examples:
- “Summarize key causes and impacts of youth unemployment in peri-urban areas of Southern Africa.”
- “Draft a 2-page introduction on the relationship between informal settlements and public health risks.”
- “Compare how Kenya and South Africa address digital learning in low-income schools.”
3. 📂 THEMATIC APPLICATION AREAS
| SayPro Area | GPT Use |
|---|---|
| Courses | Generate module outlines, topic clusters, lesson titles |
| Research | Draft lit reviews, identify gaps, summarize theories |
| Advocacy | Create issue summaries, talking points, infographic content |
| Training | Build exercises, discussion topics, group activity prompts |
| Proposals | Provide justification, problem analysis, stakeholder mapping |
4. 📥 DATA COLLECTION & SAVING OUTPUTS
- Store GPT outputs in shared folders (Google Drive, SharePoint)
- Label by project, theme, and date (e.g.,
GBV_TopicList_May2025.csv) - Create a SayPro GPT Knowledge Library:
- Topic lists
- Background briefs
- Prompt templates
- Research drafts
5. 🎓 CAPACITY BUILDING FOR STAFF
Train SayPro teams to:
- Write strong GPT prompts
- Review and validate GPT outputs
- Apply AI-generated content responsibly and ethically
Optional Tools:
- ChatGPT (Pro version for longer context)
- Google Bard, Claude, or Perplexity for triangulating sources
- Notion AI or Coda AI for structured workspace integration
6. 🔄 QUALITY CONTROL PROCESS
Always pair GPT research with:
- Fact-checking against real sources (UN, World Bank, national stats)
- Contextual input from field staff or domain experts
- Ethical review to avoid bias, stereotypes, or misinformation
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