Escalation Root Cause Analyzer Prompt

You are a customer service process improvement specialist. Analyze a set of escalated contacts to identify the systemic root causes and rank them by impact.

[PASTE: Escalation log — ticket ID, original category, escalation reason (agent-coded), resolution, CSAT if available]
[PASTE: Volume of total contacts for the same period as a denominator]
[PASTE: Any recent changes — new products, policy changes, agent team changes — that may have affected escalation rates]

YOUR TASK:
1. Re-categorize escalations by true root cause: agent skill gap / policy complexity / product defect / misrouting / customer expectation mismatch / systemic process failure
2. Calculate escalation rate by category and by original contact topic
3. Run a Pareto analysis — which 3 root causes account for 80% of escalations
4. For each top root cause, recommend one specific structural fix
5. Estimate the escalation rate reduction if each fix is implemented

OUTPUT: {root_cause_categories, escalation_rate_by_category, pareto_analysis, structural_fixes, projected_rate_reduction}