Product Economics for EdTech
EdTech platforms face the unique challenge of serving millions of concurrent users during school hours while maintaining accessibility, privacy compliance, and pedagogical integrity. The economics are unforgiving.
Content Delivery Debt
Video streaming, interactive content, and real-time collaboration create infrastructure costs that scale non-linearly with user growth. Peak usage during school hours compounds capacity planning.
AI Tutor Governance
AI tutors must be pedagogically sound, age-appropriate, and bias-free. Unlike enterprise AI, errors in educational AI directly impact learning outcomes for children and students.
Accessibility Requirements
ADA, Section 508, WCAG 2.1 AA compliance creates significant engineering overhead. EdTech products must be accessible to all learners, including those with disabilities.
FERPA & COPPA
Student data privacy laws (FERPA for higher ed, COPPA for K-12) create strict data handling requirements. Non-compliance can result in loss of institutional contracts.
How I Help EdTech Companies
- → Quantify content delivery and infrastructure debt as platform scales
- → Audit AI tutor models for pedagogical accuracy and age-appropriateness
- → Calculate the engineering cost of accessibility and privacy compliance
- → Model unit economics for freemium-to-institutional conversion funnels