A dashboard designed to help machine learning engineers and content teams define, manage, and refine learning categorisation rules based on real user behavior. The tool translates complex learning paths and usage patterns into a clear, usable interface—making it easier to maintain accurate categorisation at scale and improve how content is surfaced across the platform.
users reached
months of collaboration
hours of time saved
The process
The design process focused on translating complex data and machine learning logic into a calm, usable experience. By grounding decisions in real usage patterns and close collaboration with ML engineers, the dashboard balances flexibility with safety—enabling teams to manage categorisation confidently while supporting long-term scalability.
Performance at scale
Satisfaction
Score
Active users