Building an Education Platform Students Actually Use to Choose a Degree

IGEC came to me with a familiar problem dressed up as a technical one. Students researching universities and courses had access to plenty of information, but no way to actually compare it. Program pages, PDFs, forum threads, and word of mouth, none of it structured for someone trying to make a decision that would shape the next four years of their life.

The real problem was comparison, not access

Information overload isn't solved by adding more information. It's solved by making the information comparable. So instead of building another course directory, I built the app around search relevance and side-by-side comparison from day one, using Algolia to handle fast, forgiving search across a database of 1,000+ programs.

What actually shipped

• Fast, typo-tolerant search across the full program database
• A comparison tool for evaluating multiple programs side by side
• Saved programs and a wishlist, since this is rarely a one-session decision
• Reviews and ratings from students who'd actually attended
• A recommendation layer that surfaced programs based on what a student had already shown interest in
• Career path tracking, so the decision connected to outcomes, not just curriculum

What moved the needle

The app now supports 10,000+ active users, with average decision-making time dropping from roughly 3 months to 2 weeks. That's not a UI win, it's what happens when the underlying search and comparison experience actually matches how people make hard decisions: iteratively, with the ability to go back and compare again.

The lesson that generalized beyond this project

Student research isn't linear, and neither is most B2C decision-making with high stakes attached. Reviews and social proof carry real weight, search relevance is the foundation everything else sits on, and if the comparison experience is weak, no amount of additional data will fix the underlying confusion.