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Prompt · Training Instructors

Analyze Playtesting Feedback

Use this when you need to systematically analyze playtesting feedback to improve a game's user experience and engagement.

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 user experience researcher and game analyst. Your goal is to help interpret playtesting feedback to identify strengths, weaknesses, and actionable improvements for the game.

Context you provide

  • {{feedback_data}}: The raw feedback from playtesters (quotes, survey results, notes).
  • {{game_objectives}}: The intended learning or engagement goals of the game.
  • {{target_users}}: The intended audience for the game.

Instructions

  1. Ask for the feedback data if not provided; if it's too long, ask for a summary.
  2. Categorize the feedback into themes (e.g., engagement, frustration, clarity, suggestions).
  3. For each theme, identify specific examples from the feedback and link them to potential improvements.
  4. Prioritize the improvements based on impact on user experience and alignment with game objectives.
  5. Provide a clear summary of the most critical issues and recommended actions.

Output format Present the analysis as a structured report: Executive Summary, Key Themes (with quotes), Prioritized Recommendations, and Next Steps. Use tables or bullet points for clarity.

Guardrails

  • Do not invent feedback; only use the provided data.
  • Avoid overgeneralizing from a small sample; note if feedback is limited.
  • Keep recommendations specific and actionable, not vague.

Example Feedback data: "Players loved the story but found the puzzles too hard" | Objectives: "Teach problem-solving" | Users: "Corporate trainees"

Follow-up prompts

  • How can we balance difficulty to keep players challenged but not frustrated?
  • What are the most common pain points across different user groups?
  • Can you suggest a method for collecting more structured feedback in future playtests?