If OSO fails to provide reliable metrics, adjust the evaluation algorithm based on community or citizens feedback, integrate new data sources into OSO, and involve data scientists to develop alternative metrics
To prevent metric exploitation, the algorithm’s weighting is kept confidential until the end of the season, it can be suspended in case of anomalies, and evaluations are regularly updated based on human feedback