Help Center Search Optimization and Content Gap Review
Improve findability and cover missing questions.
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Find content gaps and findability problems in my help center. Product: [PRODUCT]. Help center search data (top queries, queries with no results, queries followed by contacting support): [SEARCH_DATA]. Article list with titles and view counts: [ARTICLE_LIST]. Top ticket topics: [TICKET_TOPICS]. Return tables: 1. Query analysis: Query | Volume | Results found? | Best matching article | Problem (no article, wrong title wording, article buried, article too long, synonym missing) | Fix. 2. Gap list: Missing topic | Evidence (queries, tickets) | Priority | Article type needed | Suggested title in the customer's words. 3. Synonym and keyword map: customer term | official term | where to add (title, summary, keywords). 4. Article quality issues: Article | High views but low helpfulness | Reason | Rewrite plan. 5. Search settings: boosting, synonyms, typo tolerance, filters, and "did you mean" suggestions (depending on my tool). 6. Deflection potential: tickets that could be avoided if the article existed, estimated using my numbers (show the arithmetic and label it an estimate). Finish with a prioritized 30-day backlog and a monthly review routine with three metrics (search success rate, no-result rate, contact rate after viewing). Do not claim a result I cannot derive from the data.
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