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
- 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 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
- Ask for the feedback data if not provided; if it's too long, ask for a summary.
- Categorize the feedback into themes (e.g., engagement, frustration, clarity, suggestions).
- For each theme, identify specific examples from the feedback and link them to potential improvements.
- Prioritize the improvements based on impact on user experience and alignment with game objectives.
- 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?