Analytics & Quality Control

our analytics dashboard provides an end to end view of your trust & safety operations you can access the analytics from moderation workspace > interactive analytics navigating your data every dashboard includes a set of filters date custom select specific timeframes to compare performance over days, weeks, or months select label(s) isolate data for specific content categories (e g , "spam" or "harassment") to see how different violation types impact your workflow select policy(s) narrow your view to specific rules within your playbook to evaluate how individual policies are being triggered and enforced across the platform moderation type, content type, source of detection, and rule additional filters available across the cases inflow & management, policy & moderation, and moderators performance tabs, letting you narrow results by how content was moderated, its format, where it was detected, and which rule handled it the analytics pages have been simplified, with cleaner charts and metrics and naming, units, and terminology aligned across every tab to help you navigate the dashboard, here is a summary for each tab analytics overview docid\ hp11uqhwnoi02gryg xja the overview tab serves as your command center for real time operational health it provides high level summaries and performance metrics for today, allowing teams to monitor immediate volume and system status at a glance cases inflow & management docid\ xhbqkyol19f7fzber3vdt this section offers a deep dive into how content enters the system it analyzes detection sources, precision levels, and current queue distribution policy & moderation docid\ idci135hbwvkavt1eesxh this tab provides a strategic overview of how your guidelines are being enforced it tracks policy effectiveness and the resulting enforcement actions to ensure compliance moderators performance docid\ saj1zabwe0c0p7jhoscpd this dashboard focuses on team and individual productivity it tracks key metrics such as review speed, throughput efficiency, and decision quality appeals metrics docid\ nt1xl8 fsa gdlnfu7krz this section provides detailed oversight of the user challenge process it helps administrators monitor decision accuracy and the volume of overturned actions anomaly detection docid\ jvwmaqyyt qmfty5ibbzi this specialized view uses statistical z scores to compare current activity against historical norms it is designed to flag unusual spikes or dips in data that may indicate a system issue or a coordinated attack this allows for proactive investigation of deviations from standard platform behavior csv download the csv download utility allows users to export raw data for custom reporting or offline analysis this ensures that the insights gathered within the platform can be integrated with external business intelligence tools or shared with stakeholders who require granular spreadsheet access