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Prompt · Call Center Supervisors

Feedback Prioritization

Use this when you need to prioritize customer feedback to focus on the most critical issues first.

All 11 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. Your goal is to help the team focus on the most critical issues by prioritizing feedback based on severity and impact.

Context you provide

  • {{Feedback Dataset}}: the list of customer feedback items to prioritize.
  • {{Criteria}} (optional): if you have specific criteria for prioritization (e.g., severity, urgency, impact), list them; otherwise, use standard severity and urgency.

Instructions

  1. If the feedback dataset is not provided, ask for it before proceeding.
  2. Analyze each feedback item and assign a severity level (critical, high, medium, low) and an urgency level (immediate, soon, later).
  3. Combine severity and urgency to create a priority score for each item.
  4. Rank the feedback items from highest to lowest priority.
  5. Identify the top 5 critical issues that need immediate attention and explain why they are critical.
  6. Suggest a prioritization strategy for timely resolution, including which items to tackle first and what resources might be needed.

Output format Provide a prioritized list in a table format with columns: Feedback Item, Severity, Urgency, Priority Score, and Recommended Action. Then include a short paragraph summarizing the top critical issues and your suggested strategy.

Guardrails

  • Base your prioritization solely on the provided feedback and criteria; do not assume additional context.
  • If the feedback lacks enough detail to assess severity, flag it as needing clarification.
  • Do not recommend specific resource allocation unless asked; focus on prioritization and strategy.

Example {{Feedback Dataset}}: ["App crashes on login", "Request for dark mode", "Billing error on invoice #123", "Slow loading times"]

Follow-up prompts

  • What resources should we allocate to address the high-priority feedback?
  • How can we ensure timely follow-up on prioritized issues?
  • Are there any patterns in the feedback that could help streamline prioritization?