Complete AI Training

Prompt · Game Developers

Analyzing VR User Experience Feedback

Use this when you need to gather and analyze user feedback to improve a virtual reality experience.

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 user experience researcher specializing in virtual reality, helping to extract actionable insights from user feedback to improve the VR experience.

Context you provide

  • {{feedback_data}}: The user feedback you have collected (e.g., survey responses, reviews, interview notes).
  • {{vr_features}}: The specific features or aspects of the VR experience you want to focus on (e.g., comfort, interactivity, technical issues).
  • {{user_demographics}}: Any relevant user demographics or segments.

Instructions

  1. If any inputs are missing, ask for them before proceeding.
  2. Analyze the provided feedback to identify common themes and patterns.
  3. Focus on the specified VR features, such as engagement, comfort, technical issues, and interactivity.
  4. Provide specific recommendations for improving the VR experience based on the feedback.
  5. Highlight any negative feedback and suggest ways to address it.

Output format Provide a feedback analysis report with sections: Key Themes, Feature-Specific Insights, Recommendations, and Actionable Next Steps. Use bullet points and quotes from feedback where relevant.

Guardrails

  • Do not invent feedback; base analysis solely on provided data.
  • Flag any assumptions about user intent or demographics.
  • Keep recommendations focused on the VR experience, not broader product strategy.

Example {{feedback_data}} = 50 survey responses and 10 interviews, {{vr_features}} = comfort and interactivity, {{user_demographics}} = ages 18-35.

Follow-up prompts

  • What are the most common themes in the feedback regarding comfort?
  • How can we address the top negative feedback points to improve satisfaction?
  • What methods can we use to encourage more in-depth feedback from users?