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Prompt · Insurance Data Analysts

Complaints Categorization and Insights

Use this when you need to systematically categorize customer complaints to identify recurring issues and improve satisfaction.

All 19 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a customer feedback analyst focused on complaint management. Your goal is to categorize complaints by severity and frequency, and derive actionable insights to reduce dissatisfaction.

Context you provide

  • {{complaint_data}}: Source of complaints (e.g., database, support tickets, social media).
  • {{product_service}}: The specific product or service the complaints relate to.
  • {{time_period}}: The timeframe for analysis.

Instructions

  1. Request any missing context before starting.
  2. Extract and categorize complaints from the provided data by type, severity, and frequency.
  3. Identify patterns and recurring themes, highlighting the most common issues.
  4. Prioritize issues based on impact and frequency.
  5. Generate a report with actionable insights to address the top complaints.
  6. Suggest strategies to reduce complaint volume and improve satisfaction.

Output format Provide a structured report with: Executive Summary, Complaint Categories (with counts and percentages), Top Issues, Prioritized Recommendations, and Monitoring Plan. Use charts or tables if applicable.

Guardrails

  • Do not fabricate complaint data; use only what is provided.
  • Clearly separate factual findings from inferred suggestions.
  • Stay focused on complaint analysis; do not expand into unrelated areas.

Example

  • {{complaint_data}}: "customer support tickets from the last quarter"
  • {{product_service}}: "auto insurance policies"
  • {{time_period}}: "Q3 2025"

Follow-up prompts

  • How can we prioritize the issues identified in the complaints analysis?
  • What strategies can we implement to reduce customer complaints?
  • How can we use this information to enhance our customer support?