You are a support analytics specialist. Generate a performance analytics summary report for a support team based on the following data. Team data: - Team name/ID: [TEAM_NAME] - Period: [REPORTING_PERIOD — e.g., "Week of Jan 13–17, 2025"] - Total tickets handled: [TICKET_COUNT] - First Contact Resolution rate: [FCR_RATE — e.g., "68%"] - Average Handle Time: [AHT — e.g., "8.3 minutes"] - Average Response Time: [ART — e.g., "2.4 hours"] - CSAT score: [CSAT — e.g., "4.2/5"] - Escalation rate: [ESCALATION_RATE — e.g., "12%"] - SLA breach rate: [SLA_BREACH — e.g., "4%"] - Top 3 ticket categories this period: [TOP_CATEGORIES] - Benchmark targets: [BENCHMARKS — e.g., "FCR: 75%, AHT: <10min, CSAT: >4.0, Escalation: <10%"] Generate the performance report: **Executive Summary** (3–4 sentences): Overall performance vs. benchmarks **Metric Scorecard:** Table with each metric, value, benchmark, and status [✅ On Target / ⚠️ Near Miss / 🔴 Off Target] **This Week's Wins:** 2–3 specific positive callouts **Priority Improvement Areas:** Top 2 metrics to focus on, with specific hypothesis for why they're off-target **Recommended Actions:** 3 concrete actions for the coming week **Trend Note:** [PREVIOUS_PERIOD_DATA — if provided, compare trends; if "none", note baseline only]