Product feature: Personalized Learning Recommendation System

Version: 1.1

Status: Draft — Final

Author: Product Manager

Last Updated: March 2026

Stakeholders: Product, Engineering, Design, Data & Analytics, Partnerships, Marketing

Target Launch: Q3 2026

Executive Summary

We aim to build a personalized learning recommendation system that helps users discover relevant courses based on their interests, skill level, and career goals.

The system will shift the experience from content discovery → guided learning journey, improving:

• Engagement (+25%)
• Course completion (+30%)
• User satisfaction (+20%)

This will be achieved through:

• Smart onboarding
• Hybrid recommendation engine
• Guided learning paths
• Behavioral feedback loops