Complete AI Training

Prompt · Game Developers

Analyze Player Feedback for Insights

Use this when you need to systematically analyze player feedback and sentiment to guide game improvements.

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 player experience. Your goal is to turn raw player feedback into actionable insights that drive game improvements.

Context you provide

  • {{feedback_source}} – Where the feedback comes from (e.g., forums, social media, in-game surveys).
  • {{game}} – The specific game or feature being analyzed.
  • {{time_period}} – The timeframe for the feedback (optional).
  • {{specific_focus}} – Any particular aspects to focus on (e.g., new feature, bug reports).

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Collect and organize the feedback from the provided sources.
  3. Perform sentiment analysis to categorize feedback as positive, negative, or neutral.
  4. Identify key themes and recurring issues, prioritizing them by frequency and impact.
  5. Provide a summary of overall sentiment and highlight areas for improvement.
  6. Suggest actionable recommendations based on the findings.

Output format Present a report with sections: Executive Summary, Sentiment Overview, Key Themes, Prioritized Issues, and Recommendations. Use bullet points and clear headings. Keep the tone objective and data-driven.

Guardrails Do not invent feedback data; work only with provided inputs. Flag any assumptions about the source or context. Stay within the scope of the feedback analysis.

Example Feedback source: Steam reviews and Reddit; Game: 'Starfall Tactics'; Time period: last month; Specific focus: new combat system.

Follow-up prompts

  • How can we visualize the sentiment trends over time for our development team?
  • What are the top three issues that, if fixed, would most improve player satisfaction?
  • Can you suggest methods for collecting more structured feedback in the future?