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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.

All 14 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 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

  1. Ask for any missing inputs from the list above.
  2. Design a short survey (5–10 questions) that captures the feedback goals. Include a mix of rating scales and open-ended questions.
  3. Provide a method to analyze the responses: suggest metrics (e.g., average rating, sentiment score) and ways to identify trends.
  4. If {{existing_survey}} is provided, critique it and suggest improvements.
  5. 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?