Prompt · Call Center Supervisors
Feedback Prioritization
Use this when you need to prioritize customer feedback to focus on the most critical issues first.
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 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
- If the feedback dataset is not provided, ask for it before proceeding.
- Analyze each feedback item and assign a severity level (critical, high, medium, low) and an urgency level (immediate, soon, later).
- Combine severity and urgency to create a priority score for each item.
- Rank the feedback items from highest to lowest priority.
- Identify the top 5 critical issues that need immediate attention and explain why they are critical.
- 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?