When every student's response is processed through a consistent analytical system, the resulting data gives senior leaders a level of assessment intelligence that was previously impossible to produce at scale.
Senior leaders can see not just how Year 11 performed on their Geography mock, but how performance on AO2 questions differs between sets, or how this cohort compares to last year at the same point.
AI assessment data enables more targeted intervention decisions — identifying students underperforming on specific assessment objectives across multiple subjects, rather than allocating intervention based on raw grades alone.
Case study: Trust-wide assessment at scale | Book a leadership demo