SayPro Technology

SayPro Extract risk topic lists using GPT

Written by

Matjie Maake

in

SayPro Process: Extract 1,000+ Risk Topics Using GPT (January Batch)

1. Define Scope & Risk Domains

Break down the risk landscape into manageable focus areas or themes so GPT outputs are targeted and relevant.

Example focus areas:

  • Digital Inclusion Risks
  • Public Health Risks
  • Youth Employment Risks
  • Environmental Risks
  • Governance & Civic Engagement Risks
  • Research Integrity Risks
  • Education Access Risks
  • Gender-Based Risks
  • Data Privacy and Security Risks
  • Economic/Financial Risks

2. Create Batch GPT Prompts

Design 10+ prompts where each prompt requests around 100 unique risk topics focused on a specific theme.

3. Example GPT Prompt Template

textCopyEditGenerate 100 unique risk-related topics relevant to [Focus Area], reflecting current and emerging risks affecting youth and communities in January 2025. Each topic should be concise (under 15 words) and actionable for risk research or mitigation planning.
Format the output as a numbered list.

4. Sample Prompt Examples

  • Generate 100 unique risk topics for digital inclusion challenges faced by youth in Africa.
  • Generate 100 unique risk topics related to public health misinformation affecting youth.
  • Generate 100 unique risk topics on youth unemployment and economic barriers.
  • Generate 100 unique risk topics around climate change impacts on vulnerable communities.
  • Generate 100 unique risk topics about governance, transparency, and civic participation risks.
  • Generate 100 unique risk topics about data privacy risks in mobile youth platforms.
  • Generate 100 unique risk topics related to research data integrity and ethical risks.
  • Generate 100 unique risk topics concerning gender-based violence and systemic biases.
  • Generate 100 unique risk topics on access to quality education and digital learning risks.
  • Generate 100 unique risk topics on financial inclusion and entrepreneurship risks.

5. Batch Execution

  • Submit these prompts manually to GPT or automate using API tools.
  • Collect the outputs and aggregate into a master list.

6. Post-Processing

  • Deduplicate similar topics.
  • Tag with SayPro SCRR categories (Strategic, Compliance, Reputational, Research).
  • Categorize by theme and priority.
  • Format according to SayPro’s standard templates (Excel or dashboard-ready).

7. Automation Tips

  • Use spreadsheet plugins or Python scripts to automate prompt submission and result capture.
  • Create a template to feed prompts in batches and output directly into structured sheets.

8. Sample Output Preview

  1. Lack of reliable internet access in rural youth communities
  2. Spread of health misinformation via social media platforms
  3. Youth unemployment surge due to economic downturns
  4. Insufficient climate adaptation education programs
  5. Corruption affecting youth-led civic initiatives

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