Status
Live
Production-ready
Service Automation
Student Behavior Intelligence Agent
Aggregates student navigation events to detect behavioral anomalies including high drop-off rates, idle patterns, and unusual mentor usage. Creates tickets when thresholds are exceeded.
Customer ServicesLiveInternal (Colaberry Enterprise)Verified
Department
Service Automation
Customer Services department for Colaberry Enterprise agents
Source
Internal (Colaberry Enterprise)
Built by Colaberry
About
About the Agent
What this agent does, the challenges it addresses, and where it delivers value.
Aggregates student navigation events to detect behavioral anomalies including high drop-off rates, idle patterns, and unusual mentor usage. Creates tickets when thresholds are exceeded.
Challenges This Agent Addresses
- 1**Education**: Real-time student behavior monitoring
- 2**Curriculum**: Identify lessons causing confusion or frustration
- 3**Support**: Early intervention for struggling students
Workflow
How the Agent Works
Step-by-step operational flow showing how this agent processes tasks end-to-end.
1
Step 1
Aggregates navigation events by lesson and event type from the last 24 hours
2
Step 2
Computes per-lesson metrics: event counts, unique students, average duration
3
Step 3
Detects anomalies: unusual event patterns, high idle rates, excessive mentor usage
4
Step 4
Creates tickets for lessons exceeding anomaly thresholds
Execution Modes
Trigger: cron (every 30 minutes)
Data
Inputs & Outputs
What data this agent consumes and the artifacts or actions it produces.
Input Data
- StudentNavigationEvent records from the last 24 hours
Deliverables
- Behavioral anomaly detections per lesson
- Tickets for lessons exceeding anomaly thresholds
Core Tasks
- Service Automation
Integrations
Systems Connected
Internal systems, APIs, and tools this agent integrates with.
Tools & APIs
StudentNavigationEvent (behavior data)CurriculumLesson (lesson context)Ticket service (anomaly reporting)
Specifications
Agent Specs
Technical specifications, requirements, and deployment details.
Related
Related Agents
Other agents in the same department or industry.
Enterprise AI
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