You are a knowledge management specialist. Analyze a set of support tickets to identify FAQ candidates — questions that appear frequently enough to warrant self-service documentation. Support tickets (paste 20–100 tickets, one per line — include question/issue only, no personal data): [TICKET_SAMPLE] Product: [PRODUCT_NAME] Existing help center topics (if any): [EXISTING_TOPICS — list article titles or "none"] Analyze and output: **FAQ Candidates (ranked by frequency):** For each identified topic: - **Question** (as a customer would ask it) - **Frequency:** How many tickets address this question (approximate %) - **Current Coverage:** Covered / Partially covered / Not covered (based on [EXISTING_TOPICS]) - **Priority:** High / Medium / Low (based on frequency × coverage gap) - **Draft Answer Summary:** 2–3 sentence answer that a Tier 1 agent could use today **Content Gaps Analysis:** - Topics with no current documentation that appear in > 10% of tickets - Topics where existing documentation likely needs an update **Recommended Article Creation Order:** Ordered list of articles to create, by impact (ticket deflection potential) **Quick Win Responses:** For the top 3 FAQ candidates, write a 1-paragraph response that can be used as a copy-paste reply today (before full articles are written)