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Improving the Test Scores Significantly and Effectively

What’s the Problem?

Students learn content via books, videos, or tutoring services and practice mock exams to maximize their standardized scores (SAT, AP, MCAT, LSAT, GRE, GMAT). High scores can increase the chance of admission to academic institutions and help students pursue their goals. However, resources on the market do not focus on personalized test strategies (i.e. why one cannot finish a test within time or how to allocate time more efficiently, etc.). As a result, many students spend tons of money on resources that do not fit their needs and do not know their problems with unwanted outcomes.
Problem
Students want to achieve high scores on standardized exams
Available resources do not focus on personalized solutions
Students end up spending their time and money unnecessarily

What’s the Solution?

I aimed to solve such issues by developing a solution that can provide a tailored experience to improve test scores effectively and efficiently for every student. It will ultimately allow to aggregate information of each student (i.e. behavior, weakness, strengths) and produce recommendation of review contents and test strategies tailored to each student’s needs.
Minimum Viable Product (MVP)
An online platform where student can take digital practice exams
User database
Authentication platform
CRUD API + Relational database
Timer
Concept tags for each question
Test strategies
*An eye-tracking software tool that generates heat map results can help provide more accurate personalized testing strategies. However, this is not a must factor for the mvp.

UI Mockups

Product Roadmaps

PSAT becomes a digital test in October 2023. Target release date: September with three months of testing (June, July, August). I’ve written dependencies from Front End’s perspective. I left comments on them for clarification.
Assumption & Known Roadblock
Each sprint lasts two weeks
Purchase third-party authentication platform
Three dashboard layouts: user/student, instructor, and admin
Eye-tracking becomes functional with webcam + integration with third-party API