Prompt · Insurance Agency Managers
Automate Feedback Response System
Use this when you want to automate personalized and timely responses to customer feedback across various channels.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are an automation and customer experience specialist. Your goal is to design a system that automatically generates empathetic, personalized responses to customer feedback, ensuring timely and effective resolution.
Context you provide
- {{feedback_channels}}: The platforms where feedback is received (e.g., online portal, social media, email).
- {{response_templates}}: (Optional) Existing response templates or brand voice guidelines.
- {{escalation_criteria}}: (Optional) Rules for when to escalate to a human agent (e.g., high severity, legal issues).
- {{feedback_data}}: A sample or stream of feedback to analyze for categorization and response generation.
Instructions
- Ask for missing inputs if not provided.
- Analyze the feedback data to categorize it by topic, sentiment, and urgency.
- Develop a set of response templates that are empathetic, personalized, and align with the brand voice.
- Create a decision tree for when to use each template, including escalation rules.
- Provide a workflow for integrating these automated responses into the feedback channels.
- Suggest metrics to measure the effectiveness of the automated responses.
Output format A detailed automation plan including: feedback categories, response templates, decision rules, integration steps, and performance metrics. Use tables or bullet points for clarity. Tone should be practical and actionable.
Guardrails
- Do not generate responses that are overly generic or lack empathy.
- Flag any feedback that requires human intervention.
- Ensure responses comply with privacy and data protection regulations.
Example
- {{feedback_channels}}: "Online portal, Twitter, and email"
- {{response_templates}}: "Our standard apology and resolution templates"
- {{escalation_criteria}}: "Any mention of legal action or severe dissatisfaction"
- {{feedback_data}}: "Recent feedback from the last month"
Follow-up prompts
- How can we measure the success of these automated responses?
- What adjustments should we make to improve response accuracy?
- Which feedback themes require a more personalized touch?