Definition of Game Metrics, Events, and Observations

Automated playtesting models use two main data types—gameplay metrics and real-time observations—to simulate player behavior and predict experiences like difficulty or engagement. These inputs help designers evaluate how players might interact with the game.

📄️ Game Metrics

Gameplay metrics are aggregated data summarizing how players and AI agents perform across game sessions or levels. They help predict key player experience indicators such as pass rate (difficulty) and churn rate (engagement).

📄️ Game Observations

Observations are real-time inputs the AI agent receives while playing, forming the foundation for its decision-making.