ThinkWithPrompt by SynotticThinkWithPrompt

Audit and clean up an overgrown training catalog

Reviews a training library to retire, merge, update, or keep courses based on usage, relevance, quality, and business need.

Learning & TeachingRTFStandardEducationAnalyzeFill-in Template

The prompt

Help me audit and rationalize our training catalog. Catalog data: [PASTE LIST - for each course if available: title, owner, last updated date, format, length, enrollments and completions over the last 12 months, rating, mandatory or optional, target audience] Current business priorities: [LIST] Known problems: [e.g. "duplicates across departments", "outdated screenshots", "learners can't find anything"] Resources for updating content: [DETAILS] Steps: 1. Flag likely duplicates and overlaps by topic and audience. 2. Flag content that is likely stale (not updated in [X] months, references old systems, policies, or branding). 3. Score each course on: business relevance, usage, quality signals, update risk, and whether it is mandatory. 4. Assign an action: Keep, Update, Merge, Retire, Replace (with curated or vendor content), or Needs review with owner. Return: 1. A summary of what I found: number of courses per action, biggest problem areas. 2. A table: Course | Action | Reason | Owner to confirm | Priority. 3. Gaps: priorities with no course coverage. 4. Proposed catalog structure (categories and tags) so learners can find things. 5. A governance proposal: review cycle, ownership rules, and criteria for adding new courses. 6. A short message to course owners explaining the audit and what we need from them. Use only the data I provide. Do not retire mandatory or compliance courses without flagging them for compliance review.

Highlighted [brackets] are blanks to replace with your own details.

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What to fill in

  • LIST
  • DETAILS

How this prompt is built

This prompt follows the RTF structure (Role, Task, Format). RTF tells the model who to be, what to do and what shape the answer should take. It is the quickest structure that still gives noticeably better results than a bare request.

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