Week No. | Date Submitted | Prompt Title/Focus Area | Prompt Text | Number of Topics Generated | Key Themes Covered | Quality Notes / Comments | Submitted By | Review Status | Follow-up Actions |
---|---|---|---|---|---|---|---|---|---|
1 | YYYY-MM-DD | Example: HR Analytics in Performance Management | “Generate 100 unique topics on how data science can improve employee engagement and retention.” | 100 | HR Analytics, Workforce Retention | High relevance, diverse topics, minor overlaps | [Name] | Reviewed | Schedule case study collection |
1 | YYYY-MM-DD | Example: Operational Efficiency via Machine Learning | “List 100 topics focused on applying ML to streamline business operations and reduce costs.” | 100 | Operations, Process Optimization | Good depth, some repetitive items | [Name] | Pending | Refine prompt for specificity |
… | … | … | … | … | … | … | … | … | … |
Instructions for Use
- Week No.: Indicate the calendar week number of the year.
- Date Submitted: Date the prompt was submitted to the GPT tool.
- Prompt Title/Focus Area: A brief descriptive title for the prompt’s theme.
- Prompt Text: Exact text of the GPT prompt used.
- Number of Topics Generated: Confirm the count of topics produced (target: 100).
- Key Themes Covered: List primary categories or thematic areas covered by the generated topics (e.g., HR Analytics, Strategic Alignment).
- Quality Notes / Comments: Any observations on topic quality, relevance, diversity, or issues encountered.
- Submitted By: Name of the team member submitting the prompt.
- Review Status: Mark as “Pending,” “Reviewed,” or “Approved.”
- Follow-up Actions: Notes on next steps like further refinement, partner submission requests, or archival.
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