ROI 公式 - CourseHub ROI Model
The CourseHub ROI formula: how to compute return on investment for online courses.
Methodology - How CourseHub Computes ROI
The CourseHub ROI model: formula, data sources, confidence scoring, and methodology.
Methodology - How CourseHub Computes ROI
CourseHub uses a quantified ROI model to evaluate online courses. This page documents the formula, data sources, and confidence scoring methodology.
Core Formula
ROI = (completion_rate × salary_lift × baseline_salary − course_price − time_cost) / total_investment × 100%
where:
total_investment = course_price + (duration_hours × hourly_rate)
expected_gain = baseline_salary × salary_lift × completion_rate
Methodology Pages
- ROI Formula — Detailed formula breakdown
- Data Sources — Where we get completion rate, salary lift, and course data
- Confidence Model — How we assign High / Medium / Low confidence
Quick Reference
| Parameter | Default | Source |
|---|---|---|
| baseline_salary | $60,000 | US median salary, BLS |
| hourly_rate | $30/hour | $60K / 2000 working hours |
| completion_rate | Per course | Platform-published stats |
| salary_lift | Per course | LinkedIn, Glassdoor, Levels.fyi |
| course_price | Per course | Platform list price |
| course_duration | Per course | Platform metadata |
Limitations
- ROI estimates are reference only and depend on individual circumstances
- Salary lift data is US-centric; users in other regions should adjust
- Completion rate is an average; individual completion depends on effort
- Confidence levels reflect data quality, not course quality