SayPro Topic Categorization Framework

Purpose:
To systematically organize GPT-extracted data science topics into key thematic areas, ensuring relevance and strategic alignment within SayPro’s Organisational Performance Management (OPM) framework.

Primary Themes & Definitions

Categorization Process

1. Initial Review: Scan the full list of extracted topics for relevance and clarity.
2. Theme Assignment: Assign each topic to one or more relevant themes based on definitions above.
3. Quality Check: Validate that topics fit within SayPro’s strategic performance management goals.
4. Tagging: Use metadata tags in documentation systems (e.g., “#HRAnalytics,” “#DataGovernance”).
5. Reporting: Summarize topic counts and insights per theme for use in SayPro Monthly Reports and editorial content.

Sample Categorized Topics