The Business Challenge
The business situation the organisation faced before the project began.
Parents and students often need to review exam scores, timetable data, and subject performance manually to understand learning progress. This can be time-consuming and makes it harder to quickly identify weak areas, improvement trends, and next study priorities.
How the Solution Was Delivered
Discovery, design, development, testing and rollout — the journey, not the tooling.
- 1Defined the student progress tracking workflow and key data points
- 2Built the frontend dashboard for scores, exams, timetable, and insights
- 3Connected the app to a Supabase backend for structured data storage
- 4Created an AI Insights feature to analyze completed academic records
- 5Generated structured outputs for strengths, weaknesses, study tips, and motivation
- 6Tested the flow using realistic parent/student review scenarios
Business Outcomes & Impact
The measurable outcomes recorded on this AI Case Study — with the story behind them.
Estimated 60–80% reduction in manual review time for parent/student progress analysis. A process that could take 20–30 minutes of checking records and interpreting scores can be reduced to a few minutes through generated AI insights.
The story behind the numbers
The application turns scattered academic records into an easy-to-understand progress summary. Instead of manually reviewing multiple records, the user can generate an AI-supported learning insight from completed data and use it to plan study focus areas.
Lessons Learned
What surprised the team, what worked well, and what would be done differently.
- AI insights are more useful when based on completed, structured data
- Parents need simple summaries, not overly technical analysis
- Clear output formatting improves trust and usability
- Small AI features can create strong value when embedded into an existing workflow