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AI and GPT Instructions for SayProCSHC-4 SayPro Fellowship Management Office SayProStaffKraal
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AI & GPT Instructions
SayProCSHC-4 – SayPro Fellowship Management Office
Department: SayProStaffKraal
1. Purpose of GPT in Fellowship Management
The primary goal is to use GPT-powered tools to enhance efficiency in managing SayPro Fellowship programs, including communications, reporting, documentation, training, mentorship matching, and progress monitoring.
2. Key Use Cases
Fellowship Program Design and Planning
- Use GPT to draft fellowship structures, timelines, and workflows.
- Generate templates for calls for applications, onboarding guides, and fellow contracts.
- Produce outlines for orientation and training sessions.
Communication and Correspondence
- Auto-generate personalized emails to applicants, fellows, mentors, and stakeholders.
- Draft newsletters, updates, and internal memos using predefined prompts.
- Translate communication into multiple languages using GPT’s translation capabilities.
Application and Onboarding Support
- Create automated FAQs and chatbot responses to assist applicants.
- Draft onboarding materials such as welcome letters, checklists, and handbooks.
- Summarize fellow profiles for mentor pairing and database inclusion.
Reporting and Documentation
- Summarize reports submitted by fellows and convert them into digestible summaries for stakeholders.
- Auto-generate quarterly, mid-term, and final reports using structured input data.
- Generate fellow impact stories based on logs and interview transcripts.
Fellow Support & Learning
- Curate and summarize learning resources for fellows using GPT prompts.
- Develop and adapt learning materials, quizzes, and self-assessment tools.
- Use GPT to simulate mock interviews and feedback sessions for fellows.
Mentorship Management
- Assist in mentor-fellow matching using profile descriptions and keyword mapping.
- Generate guidance materials and communication scripts for mentors.
- Auto-schedule mentorship check-ins and send reminders.
Monitoring and Evaluation
- Use GPT to analyze survey feedback and identify trends or issues.
- Generate insights and action items from collected feedback.
- Draft improvement plans and follow-up communication.
3. Standard Prompts and Commands
Prompt Examples:
- “Draft a follow-up email for a fellow who missed their mentorship session.”
- “Summarize the fellow’s weekly report into 5 bullet points.”
- “Create a guide for new fellows on how to report their impact.”
- “Translate this application form into Swahili and French.”
- “Generate a training schedule for a 6-month fellowship program.”
4. Data Input Tips
- Provide structured input: use bullet points, headings, and clear categories.
- Use simple and clear language when prompting GPT.
- Specify your desired tone (e.g., formal, motivational, friendly).
- For reports and summaries, include only relevant metrics and keywords.
5. Privacy & Data Guidelines
- Do not share personal information (ID numbers, private emails, phone numbers).
- Anonymize fellow data before processing with GPT.
- Avoid using GPT for decision-making without human oversight.
- Store generated outputs securely and review before public use.
6. Roles & Permissions
- Fellowship Manager: Full access to GPT for content creation, reporting, and fellow management.
- Program Officers: Draft content, assist with onboarding, and review reports using GPT.
- Interns/Fellows: Can use GPT for learning resources, progress logs, and feedback reports (limited prompts).
- Mentors: Can use prepared GPT-generated materials for communication and guidance.
7. Compliance & Ethics
- Always give credit when content is co-generated using AI.
- Avoid bias and ensure inclusivity in all AI-generated communication.
- Cross-check AI-generated outputs for accuracy, especially with legal or policy content.
8. Training & Support
- Monthly internal training on prompt engineering and use of AI tools.
- GPT cheat sheets and prompt templates stored in the SayProStaffKraal shared drive.
- Report any GPT misuse or inaccuracies to the Fellowship Director.