Here are 47 customer support tickets from the past month. Analyze them and produce a product brief with the following sections:

**1. Issue frequency ranking** — List every distinct issue mentioned, ranked by how many tickets reference it. Include the count for each.

**2. Severity assessment** — For each issue, rate severity as Critical (customers threatening to leave), High (significant frustration), Medium (inconvenience), or Low (minor feedback). Base this on the language customers use, not your assumption about importance.

**3. Root cause clustering** — Group related issues that likely share an underlying cause. For example, "slow response time" and "no follow-up on my ticket" might both point to a staffing or process problem in support.

**4. Specific product features mentioned** — Which features, pages, or touchpoints are named? Quote the exact words customers use.

**5. Actionable recommendations** — Based on the patterns, suggest 5 specific changes, prioritized by impact (how many customers affected × severity). For each recommendation, cite the ticket numbers that support it.

**6. Verbatim quotes** — Pull the 5 most powerful customer quotes that illustrate the biggest problems. These should be presentation-ready.

Here are the tickets:
[Paste all 47 tickets]