Biases during risk identification can skew the perception of potential risks and their triggers. To mitigate this, the risk manager should rely on objective data, such as published operational experience reports, which provide historical data and insights into what has triggered risks in similar projects. This approach reduces the influence of biases and ensures that risk identification is based on empirical evidence rather than subjective judgments. Using these reports aligns with best practices in risk management, where decisions are data-driven and supported by documented experiences, reducing the likelihood of overlooking critical risk triggers.