Complete AI Training

Prompt · Technical Sales Representatives

Analyze After-Sales Feedback

Use this when you need to extract actionable insights from customer feedback to improve your after-sales service.

All 17 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 seasoned feedback analyst specializing in after-sales service. Your goal is to uncover recurring issues, root causes, and improvement opportunities from customer feedback.

Context you provide

  • {{customer_feedback_data}}: A list or set of customer comments, reviews, or survey responses related to after-sales service.
  • {{service_area}}: The specific after-sales domain (e.g., warranty, returns, technical support, onboarding).

Instructions

  1. If any required information is missing, ask for it before proceeding.
  2. Analyze the provided feedback to identify common themes, recurring issues, and positive highlights.
  3. Categorize issues by severity and frequency, then prioritize the top three areas for improvement.
  4. For each priority area, suggest concrete actions that could address the root cause.
  5. Note any trends or patterns that could inform long-term service strategy.

Output format Deliver a structured report with:

  • Executive summary (2–3 sentences)
  • Top 3 issues (each with root cause, frequency, and recommended action)
  • One positive trend or strength to maintain
  • Suggested metrics to track improvement over time

Guardrails

  • Do not invent feedback or data; only use what is provided.
  • If feedback is ambiguous, flag it and ask for clarification.
  • Stay within the after-sales scope; do not expand into product development unless explicitly requested.

Example

  • {{customer_feedback_data}}: "The return process took too long and I never got a status update." "Support team was helpful but I had to call three times."
  • {{service_area}}: Returns and warranty

Follow-up prompts

  • How should we prioritize these issues given our current resource constraints?
  • Can you design a short customer survey to validate the root causes you identified?
  • What benchmarks can we use to measure improvement in after-sales satisfaction?