Online Education · n8n Workflow Automation
Online Education — Enrollment and Progress Monitoring
Portfolio DemonstrationEnrollment, onboarding, module progress, assignment status, and quiz performance flow in a straight line, with a single risk gate near the end - combining inactivity days and quiz score - deciding between tutor intervention or an on-track milestone marker.

Problem
Learners who stall mid-course or miss milestones often disengage completely without a timely nudge.
System Design
Course milestone timeline: the most compact and linear canvas in the portfolio, resembling a left-to-right course-progression timeline with a single branch point near the end.
Workflow Stages
- 01Enrollment & Onboarding
- 02Progress & Performance Tracking
- 03Support Risk & Tutor Intervention
Tools Used
- n8n
- Form Trigger
- Code (JavaScript)
- If
- Set
Safety & Human Review
- Workflow name begins with DEMO | and is inactive.
- No credentials are attached to any node.
- No enabled external send node exists anywhere in this workflow.
- All data is fictional (example.com emails, invented names/addresses).
- Uses only built-in n8n node types.
Implementation Evidence
Real screenshots of the working system — collapsed by default so this page stays readable.
What's Working
7 structural checks passed, including: Workflow JSON parses (local + server-returned copy); active is false; Name begins with DEMO |; No credentials attached to any node. Structural and logic validation completed. Live n8n execution pending manual safe test.
Limitations & Confidentiality
Classification and scoring logic is deterministic/rule-based rather than a live AI model, by design (provider-independent, fully inspectable, no credential required). No real system of record, messaging channel, or calendar is connected - every downstream action is simulated or drafted, never sent. Live n8n execution has not been triggered as part of this build.
Portfolio demonstration built for a fictional business with fictional data. It is not connected to any real client, system, or customer.
What I'd Improve Next
Replace deterministic classification with a real AI model behind the same confidence/human-review pattern where one exists. Connect the mock/simulated steps to real systems of record once reviewed and approved. Wire a real (approved) communication channel behind the draft-message steps.
Have a similar workflow to automate?
I'll tell you honestly whether automation is the right fix.