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Using Data to Drive School Improvement

How school leaders can use data to drive genuine improvement — turning assessment, attendance, behaviour and engagement data into decisions and action, without creating data burden, under the November 2025 Ofsted framework.

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Data can transform school improvement — or bury it under spreadsheets no one uses. The difference is whether leaders use data to make decisions and drive action, or simply to collect and report. This article sets out how school leaders can use data to drive genuine improvement, in a way that is proportionate, honest and aligned to the leadership expectations of the November 2025 Ofsted framework.

Quick summary

  • Data drives improvement only when it informs decisions and action — not when it’s merely collected.
  • Useful data spans achievement, attendance, behaviour, engagement and inclusion.
  • Leaders should focus on trends, gaps and vulnerable groups, not just headline figures.
  • Keep it proportionate — the framework values reducing unnecessary workload.

The purpose of data in improvement

The point of data is to help leaders see reality clearly and act on it. Effective data use:

  • reveals where the school genuinely stands,
  • identifies gaps and priorities,
  • informs decisions and interventions,
  • tracks whether improvement work is having impact, and
  • evidences progress to staff, governors and — when they come — inspectors.

Data that never changes a decision is workload without benefit. This connects to effective leadership and governance, which the framework evaluates.

What data to use

Leaders should draw on a rounded picture, not a single source:

  • Achievement and assessment — progress from starting points, and gaps.
  • Attendance — patterns and vulnerable groups (see Improving Student Attendance Using Data).
  • Behaviour — trends that reveal culture and specific issues.
  • Engagement — whether pupils are participating and persisting.
  • Inclusion — how disadvantaged and SEND pupils are progressing.

Triangulating these sources gives a truer picture than any one alone.

From data to decisions: a practical cycle

  1. Gather proportionate, reliable data.
  2. Analyse for trends, gaps and vulnerable groups — not just averages.
  3. Interpret with professional judgement — what is the data telling us?
  4. Decide on a specific action or intervention.
  5. Act and resource the decision.
  6. Review whether it worked, and adjust.

The discipline is in steps 4–6: data must connect to decisions, action and review, or it achieves nothing.

Look beyond the averages

Headline figures hide the pupils who most need attention. Effective leaders disaggregate data — by group, subject and cohort — to see where inequalities and specific weaknesses lie, particularly for disadvantaged and SEND pupils. See Tracking Learning Gaps Across a School.

Keep it proportionate and honest

  • Proportionate — collect the minimum that informs action; excessive data adds workload the framework wants reduced.
  • Honest — data should match reality, and leaders should act on inconvenient findings, not just favourable ones.
  • Used — the test of good data is whether it changes what the school does.

Frequently asked questions

How should leaders use data to drive improvement?

By analysing it for trends, gaps and vulnerable groups, interpreting it with judgement, and connecting it to specific decisions, action and review.

What data matters for school improvement?

Achievement, attendance, behaviour, engagement and inclusion — triangulated for a rounded picture.

Why look beyond averages?

Because headline figures hide the pupils who most need support; disaggregating data reveals where to act.

Does Ofsted want lots of data?

No. The framework values reducing unnecessary workload. Collect the minimum that genuinely informs action.

How does data use relate to leadership judgements?

Effective, data-informed decision-making is evidence of strong leadership and governance.

What’s the biggest mistake in using data?

Collecting and reporting data without ever using it to change decisions or actions.

Conclusion

Using data to drive school improvement is about turning information into decisions: gather proportionately, analyse for gaps and vulnerable groups, interpret with judgement, act, and review. Kept honest and proportionate, data becomes the engine of improvement and the evidence of effective leadership — not a burden that generates numbers no one uses.

How AI Buddy supports schools

Turning learning data into clear, actionable insight — without adding workload — is exactly where technology helps leaders. AI Buddy is designed to support schools in strengthening areas evaluated during Ofsted inspections, providing dashboards and analytics on engagement, progress and learning gaps, broken down by group, so leaders can make data-informed decisions and evidence their impact. It is not endorsed or certified by Ofsted; it is built to help leaders drive improvement with data they actually use.

Discover how AI Buddy helps schools strengthen teaching, learning and evidence-informed school improvement. Or start a short consultation with our schools team using the form below.

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