Built by IB educators, MonoData helps schools work with their data in a more focused and collaborative way.
MonoData begins with Diploma Programme exam results, turning complex datasets into clear, structured views of performance across years, subjects, and cohorts.
It highlights patterns in grade distributions, prediction accuracy, moderation, and benchmarking against global standards. This provides clear direction on where improvements can be made.
All teachers engage directly with structured and visualised data, creating a shared starting point for evidence-informed conversations across departments and teams.
Data is explored through a clear process that connects patterns to meaning, supporting teams in building data literacy and engaging in deeper reflection.
AI-supported narratives help translate insights into focused adjustments in teaching, assessment, and programme design.
A structured model for meaningful reflection
MonoData is built on a simple but powerful model, with AI-supported narratives helping teams move from data to shared understanding and purposeful action.
Trends, comparisons, distributions, and deviations across time and contexts.
Connecting patterns to curriculum, teaching, and assessment practices.
Professional dialogue across teams to build shared understanding.
Concrete actions in teaching, assessment, and programme design.
Interested in exploring this approach in your school?
We'd be glad to share more and learn about how your team currently works with data.
mail Get in touchFrom leadership to classroom teachers, MonoData helps schools work with data in a shared and structured way.
Curious how this could work in your context?
We'd be happy to share more and hear how your team currently works with data.
mail Contact usWe're working with a small group of schools to shape the next phase of MonoData. As an early partner, you'll:
Explore your own data through the platform
Contribute to its development
Benefit from discounted access as the platform grows