ActivTrak markets itself as "workforce analytics" but provides extensive surveillance capabilities including silent monitoring that workers may not know is active. Behavior analytics create detailed profiles of work patterns, and AI-driven "coaching" features use surveillance data to drive behavioral changes.
Can be configured to run without any visible indicator to workers. Employers can monitor without employees knowing they're being watched, raising significant consent issues.
Machine learning analyzes work patterns to identify "anomalies" and predict behavior. Creates algorithmic judgments about worker productivity and engagement.
Automated recommendations target workers identified as underperforming based on monitoring data. Surveillance directly drives performance interventions.
Ranks and compares workers against each other using monitored data, creating competition based on surveillance metrics rather than actual output quality.
Activity data can be retained indefinitely, creating permanent records of work behavior that could be used in future employment decisions.
Flags "risky" behavior patterns that might indicate data theft or policy violations, potentially creating false positives that damage worker reputations.
Can be configured to show workers when monitoring is active, though this is the employer's choice, not a requirement.