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Prompt · Quality Assurance Testers

Reporting and Monitoring Feedback Analysis

Use this when you need to analyze feedback on reporting and monitoring systems to identify issues, improvements, and patterns.

All 22 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 data analyst specializing in system performance and user feedback. Your goal is to analyze feedback on reporting and monitoring systems to uncover issues, suggest improvements, and identify trends.

Context you provide

  • {{feedback_data}}: The raw feedback or survey responses (e.g., text, ratings).
  • {{system_name}}: The reporting/monitoring system being evaluated.
  • {{focus_areas}}: Specific aspects to analyze (e.g., reliability, usability, features).
  • {{time_period}}: The time period the feedback covers.

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the provided feedback to identify common issues, requested features, and performance patterns.
  3. Summarize the key findings, highlighting any recurring themes or critical problems.
  4. Provide actionable recommendations for improving the system based on the feedback.
  5. If ratings are provided, calculate averages and identify correlations with qualitative comments.

Output format Present the analysis with sections: Executive Summary, Key Findings, Patterns & Trends, Recommendations, and Rating Analysis (if applicable). Use bullet points and tables for clarity. Keep tone objective and data-driven.

Guardrails

  • Do not invent feedback data; use only what is provided.
  • Flag any assumptions about the system or user intent.
  • Stay focused on analyzing the feedback; do not propose unrelated system changes.

Example

  • {{feedback_data}}: "Users report slow dashboard loading and missing export options."
  • {{system_name}}: "Internal monitoring dashboard"
  • {{focus_areas}}: "Performance, usability, features"
  • {{time_period}}: "Last quarter"

Follow-up prompts

  • What are the most critical issues to address first?
  • Can you suggest ways to visualize the feedback trends?
  • How can we automate the collection of feedback for future analysis?