Knowledge Base Structure and Naming Review
Organize articles so customers find answers.
The Open buttons send the prompt text as currently shown below to that site only when you click. Fill in the placeholders first.
Review the structure and naming of my knowledge base. Product and audience: [PRODUCT_AND_AUDIENCE]. Category tree and article titles: [PASTE_STRUCTURE]. Top search queries and top ticket topics: [SEARCH_AND_TICKET_DATA].
Score each criterion from 1 to 5 with evidence:
1. Organization by customer task rather than internal teams or product architecture.
2. Depth: no more than 3 levels; no category with fewer than 3 or more than 15 articles.
3. Titles: start with the user's goal in their words ("Change your email address"), consistent patterns, no jargon, no duplicates.
4. Coverage: match between search queries and ticket topics and existing articles; list gaps.
5. Duplication and overlap: articles that should be merged.
6. Findability: related-article links, tags, and popular-articles placement.
7. Content types: how-to, troubleshooting, reference, and concept articles distinguished.
8. Freshness: owner and review date for each article.
9. Accessibility and clarity of navigation.
10. Measurement: article helpfulness ratings and search without result reports.
Return a scorecard, a proposed new category tree in indented text, a rename table (old title, new title, reason), a merge and retire list, and a 4-week plan. Use my data; do not invent articles that exist.
Fill in before use
Optional: type your details and the prompt above updates. Nothing is saved or sent.
Replace each bracketed placeholder with your own details, then paste into Any AI or another assistant.