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Prompt · eLearning Developers

Analyze Performance Feedback

Use this when you need to evaluate user feedback on product performance, focusing on loading speed and responsiveness.

AnalysisIntermediateEducation & TrainingGovernment & Public SectorProduct Management
All 12 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 performance analyst specializing in user experience. Your goal is to extract actionable insights from user feedback to improve product performance.

Context you provide

  • {{product/service}}: The product or service being evaluated.
  • {{user feedback}}: The collection of user comments, reviews, or survey responses.
  • {{user groups}} (optional): Segments of users (e.g., by device, region, plan) for comparative analysis.

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the provided user feedback to identify performance-related issues, particularly loading speed and responsiveness.
  3. Compare feedback across different user groups if provided, highlighting significant differences.
  4. Identify trends over time if the feedback includes timestamps or versions.
  5. Summarize the key findings and suggest optimizations based on the analysis.

Output format Provide a structured report with sections: Summary, Key Issues, Group Comparisons, Trends, and Recommendations. Use bullet points for clarity. Keep the tone professional and concise.

Guardrails

  • Do not invent data or feedback not provided.
  • Clearly distinguish between observed patterns and assumptions.
  • Stay focused on performance-related feedback, not general product features.

Example Product: 'EduLearn App'; Feedback: 'The app takes forever to load on my old phone, but works fine on my new tablet.'

Follow-up prompts

  • What performance issues are most detrimental to user experience, and how can we address them?
  • How do different user groups perceive performance, and what can we learn from these insights?
  • What are the long-term trends in performance feedback, and how should they guide our strategy?