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Service Automation

Curriculum Optimizer Agent

Analyzes student behavior data to identify drop-off points, slow lessons, and high mentor usage patterns. Creates tickets for actionable curriculum improvements.

Customer ServicesLiveInternal (Colaberry Enterprise)Verified
Status
Live

Production-ready

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.

Analyzes student behavior data to identify drop-off points, slow lessons, and high mentor usage patterns. Creates tickets for actionable curriculum improvements.

Challenges This Agent Addresses

  • 1**Education**: Data-driven curriculum improvement
  • 2**Quality**: Identify struggling lessons before students complain
  • 3**Operations**: Prioritize curriculum fixes by impact
Workflow

How the Agent Works

Step-by-step operational flow showing how this agent processes tasks end-to-end.

1

Step 1

Aggregates completion rates per lesson from the last 30 days

2

Step 2

Identifies lessons with drop-off rates exceeding 40%

3

Step 3

Flags lessons with average duration exceeding 60 minutes

4

Step 4

Detects lessons where more than 70% of students use the mentor

5

Step 5

Creates tickets for each finding with lesson details and metrics

Execution Modes

Trigger: cron (daily at 6 AM)
Data

Inputs & Outputs

What data this agent consumes and the artifacts or actions it produces.

Input Data

  • LessonInstance completion data from the last 30 days
  • MentorConversation usage data

Deliverables

  • Tickets for high drop-off lessons (> 40% drop-off rate)
  • Tickets for slow lessons (> 60 min average duration)
  • Tickets for high mentor usage lessons (> 70% of students needing help)

Core Tasks

  • Service Automation
Integrations

Systems Connected

Internal systems, APIs, and tools this agent integrates with.

Tools & APIs

LessonInstance model (completion data)MentorConversation model (help-seeking data)Ticket service (improvement tickets)
Specifications

Agent Specs

Technical specifications, requirements, and deployment details.

Status
Live
Industry
Customer Services
Source
Internal (Colaberry Enterprise)
Department
Service Automation
Verified
Yes
Visibility
Public
Last Updated
March 27, 2026
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