The Moderation Metrics Every Trust & Safety Team Should Track

Trust and safety teams operate at the nexus of user experience, legal risk, and community health, and they require a robust set of moderation metrics and KPIs to effectively address challenges in content moderation. By tracking key performance indicators such as accuracy, precision, recall, and error rates, teams can ensure that their moderation platforms are effectively capturing harmful content without overblocking users, thus balancing automation with human judgment. Operational metrics like throughput, latency, and human review times are crucial for managing real-world usage spikes and ensuring timely decision-making. Quality and compliance metrics, including category-level and language-specific performance, help maintain reliable moderation across diverse contexts, while business-level metrics connect trust and safety efforts to broader organizational outcomes, such as reducing user exposure to harmful content and improving user retention. By building a culture of continual improvement through regular model retraining, feedback loops, and A/B testing, trust and safety teams can move from reactive to proactive strategies, using data-driven insights to guide decisions, reveal biases, and demonstrate the impact of their work.