Population Group | Total Topics Extracted | Number of Issues | Number of Challenges | Number of Solutions | Top 3 Subthemes by Frequency | Key Insights / Recommendations |
---|---|---|---|---|---|---|
Unemployed Youth | 500 | 200 | 150 | 150 | Economic Empowerment, Education, Tech Access | Youth face critical barriers in skill development; partnerships on digital literacy recommended. |
People Living with Disabilities | 500 | 180 | 170 | 150 | Accessibility, Health, Policy | Need for inclusive infrastructure and policy reform emphasized. |
Women and Girls | 500 | 210 | 140 | 150 | Economic Empowerment, Health, Gender Equality | Microfinance and healthcare access remain key areas for partnership focus. |
Instructions:
- Aggregate extracted GPT topics by population group.
- Count and summarize topics by category (Issue, Challenge, Solution).
- Identify most frequent subthemes to guide strategic priorities.
- Include brief key insights or recommendations drawn from the data.
Would you like these templates in Excel or Google Sheets format with built-in drop-downs and conditional formatting?
You said:
SayPro GPT Topic Extraction Sheet (Populations Focus)
ChatGPT said:
Sure! Here’s a clean, structured SayPro GPT Topic Extraction Sheet (Populations Focus) template you can use to organize and track GPT-generated topics related to population groups:
SayPro GPT Topic Extraction Sheet (Populations Focus)
Prompt ID | Date | Population Group(s) | Focus Area(s) | GPT Prompt Text | Topic # | Extracted Topic Description | Category (Issue / Challenge / Solution) | Subtheme | Notes / Comments |
---|---|---|---|---|---|---|---|---|---|
How to Use This Sheet:
- Prompt ID: Unique code or number for each GPT prompt submitted.
- Date: Date when the prompt was run or the data extracted.
- Population Group(s): Target group(s) relevant to the prompt (e.g., Women and Girls, Unemployed Youth).
- Focus Area(s): Thematic focus such as Economic Empowerment, Health, Education, Human Rights.
- GPT Prompt Text: Exact wording of the GPT prompt used to generate topics.
- Topic #: Sequential numbering (1 to 100 per prompt).
- Extracted Topic Description: The individual topic extracted by GPT.
- Category: Mark as Issue, Challenge, or Solution.
- Subtheme: Further classify topic under specific themes like Policy, Access, Technology, etc.
- Notes / Comments: Any additional remarks, observations, or action points.
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