Primary School – South Yorkshire

When one primary school completed its mock SATs, staff found themselves in a familiar position. Hours had been spent administering the papers, marking responses, and entering scores. The data was there, but what came next?

Like many schools, they wanted more than attainment figures. They wanted to understand what the results were telling them about their pupils’ learning and how they could use that information to make the biggest difference before the real SATs.

Rather than simply receiving scores and percentages, leaders and teachers were able to explore patterns across topics, question types, classes and pupil groups. The analysis highlighted strengths to celebrate, misconceptions to address and curriculum areas that would benefit from further attention.

What proved most valuable was the clarity it brought to conversations about teaching and intervention. Instead of relying on assumptions or broad impressions, staff could see precisely where support was needed and which areas would have the greatest impact.

As the Headteacher reflected:

For senior leaders, the analysis also provided a valuable overview of the wider picture. Patterns across forms and pupil groups became easier to identify, helping the school target resources and intervention time more effectively.

For classroom teachers, the reports offered a practical guide to what pupils needed next. Rather than creating additional work, the analysis helped ensure that the significant effort already invested in mock SATs delivered meaningful benefit for both staff and pupils.

The experience reinforced a simple but important lesson:

How did we create this Analysis?

After completing a Mock SATs paper, schools submit their results to DAISI. We then analyse performance at multiple levels, looking far beyond overall scores to uncover the patterns hidden within the data.

Our analysis examines:

The aim is simple: to help schools answer three important questions:

What are pupils doing well?
Where are the barriers to success?
What should we teach next?

After all, the workload is in collecting the data. The real value comes from understanding it.

DAISI Education

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