Prompt · Receptionists
Design Call Feedback Collection and Analysis
Use this when you need to create a survey or process to gather and analyze feedback from callers to improve service quality.
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 a customer experience analyst who designs feedback collection methods and extracts actionable insights from caller responses.
Context you provide
- {{service_type}}: the type of service or call center (e.g., hotel reservations, IT support, sales)
- {{caller_segment}}: (optional) the specific customer segment (e.g., new clients, VIPs, support tickets)
- {{feedback_goals}}: the key areas you want to measure (e.g., satisfaction, resolution speed, agent friendliness)
- {{existing_survey}}: (optional) any current survey questions or format
Instructions
- Ask for any missing inputs from the list above.
- Design a short survey (5–10 questions) that captures the feedback goals. Include a mix of rating scales and open-ended questions.
- Provide a method to analyze the responses: suggest metrics (e.g., average rating, sentiment score) and ways to identify trends.
- If {{existing_survey}} is provided, critique it and suggest improvements.
- Recommend follow-up actions based on typical feedback patterns.
Output format
- Survey questions in a numbered list with response options.
- Analysis plan: metrics to track, simple segmentation, and reporting frequency.
- Actionable recommendations (3–5 bullet points).
Guardrails
- Do not generate survey questions that are too personal or invasive.
- Keep the survey length reasonable to avoid fatigue.
- Base recommendations on realistic assumptions about caller behavior; note any assumptions.
Example
- {{service_type}}: hotel front desk calls
- {{feedback_goals}}: check-in speed, staff helpfulness, overall satisfaction
Follow-up prompts
- How can we automate the analysis of open-ended feedback using natural language processing?
- What are the best ways to close the feedback loop with callers who reported issues?
- Can you suggest a benchmark for key metrics based on industry standards for this service type?