Velocity Learning
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Tech Stack
Project Summary
Abstract
Students often spend significant time studying without clear feedback on what they actually understand, creating a strong product opportunity around personalized learning and faster gap detection.
This Georgia Tech entrepreneurship project centered on customer discovery, with 124 interviews across high school, undergraduate, and graduate learners to identify where study workflows break down.
The research triggered a clear pivot from social studying to a distraction-free, AI-guided experience built around diagnostic assessment, personalized paths, and a B2B2C distribution strategy through university departments and STEM organizations.
What I Built
- Customer discovery across 124 interviews showed strong demand for faster gap detection and better difficulty calibration.
- A key product insight was that social studying often felt distracting, which invalidated the original feed-driven concept.
Impact
- Redirected the product toward AI-guided, distraction-free study paths with a clearer value proposition.
- Created enough validation to support a GO decision and a narrower MVP focused on a few CS courses and campus distribution channels.
Page Info
Customer Discovery at Scale
Interviewed 124 learners across high school, undergraduate, and graduate programs to validate where study workflows break down and what students actually want from learning tools.
The Pivot
The team discovered that students viewed social study feeds as distractions, leading to a strategic shift toward solitary, AI-guided learning paths with light asynchronous collaboration.
Go-to-Market Direction
Validated a B2B2C distribution path through university departments and STEM clubs while narrowing the MVP to 2-3 computer-science courses and an AI diagnostic engine.