Attendance rarely improves through blanket messages or sanctions alone. It improves when a school understands the specific barriers facing specific pupils and acts on them early — and that understanding comes from data used well. This article sets out how schools can use data to improve student attendance, within the statutory “support-first” approach and the expectations of the November 2025 Ofsted framework.
Quick summary
- Data helps schools identify patterns, spot at-risk pupils early, target support and track impact.
- The statutory approach is support-first — data guides support, not just enforcement.
- Focus on vulnerable groups — disadvantaged pupils and those with SEND or mental ill health.
- The cycle is identify → understand → support → monitor.
Why data is central to attendance
The statutory guidance, Working together to improve school attendance, expects schools to take a support-first approach — tackling the barriers behind absence. You cannot tackle barriers you can’t see, which is why data matters: it reveals who is at risk, when absence occurs, and where to focus support. See Why Attendance Matters to Ofsted.
Using data to improve attendance
1. Identify patterns
Analyse attendance data for patterns — by pupil, group, year, day of the week, time of year, and subject. Patterns reveal underlying causes that averages hide.
2. Spot at-risk pupils early
Use data to identify pupils whose attendance is beginning to slip, before it becomes persistent absence. Early identification is far more effective than late intervention — the same principle as identifying at-risk learners earlier.
3. Focus on vulnerable groups
Disaggregate data to see how disadvantaged pupils and those with SEND or mental ill health are attending — the groups the statutory guidance particularly emphasises. Their barriers often need individual consideration.
4. Understand the barriers
Data identifies who and when; conversations with pupils and families reveal why. Combine the two to understand the specific barriers — health, anxiety, transport, family circumstances — behind each case.
5. Target support
Match support to the barrier, working with families and, where needed, local authorities and partners — as the statutory guidance expects. Support-first means the data leads to help, not just penalties.
6. Track impact
Monitor whether interventions are improving attendance, and adjust. This closes the loop and provides the evidence inspectors look for that the school is effectively improving attendance.
The attendance data cycle
- Identify patterns and at-risk pupils early.
- Understand the barriers through data and conversation.
- Support with targeted, support-first intervention.
- Monitor impact and adjust.
Keeping it proportionate and humane
- Support-first, not surveillance. Data should drive help, in line with the statutory approach.
- Confidential and secure. Attendance data is personal data — handle it in line with GDPR.
- Human judgement. Data flags who needs attention; people understand and address the why.
Frequently asked questions
How does data help improve attendance?
By revealing patterns, identifying at-risk pupils early, focusing on vulnerable groups, and tracking whether support is working.
What is the support-first approach?
The statutory expectation that schools tackle the barriers behind absence and support families, rather than relying on sanctions alone.
Which pupils should schools focus on?
Those whose attendance is slipping, and vulnerable groups — disadvantaged pupils and those with SEND or mental ill health.
How do schools understand the barriers to attendance?
By combining data (who and when) with conversations with pupils and families (why).
How should attendance data be handled?
Confidentially and securely, as personal data, in line with GDPR.
What do inspectors want to see on attendance?
That the school understands its attendance picture and is effectively working — support-first — to improve it.
Conclusion
Improving attendance with data means using it to understand and support, not just to monitor and enforce. Identify patterns and at-risk pupils early, focus on the vulnerable, understand the real barriers, target support, and track impact. Handled humanely and support-first, data becomes the engine of genuine attendance improvement — and the evidence that a school is meeting its statutory duty.
How AI Buddy supports schools
Attendance is a school and family matter, but engagement with learning is closely connected — a pupil who is disengaged is more likely to disengage from school itself. AI Buddy is designed to support schools in strengthening areas evaluated during Ofsted inspections by keeping pupils engaged in learning and giving leaders insight into engagement and progress, which can complement a school’s attendance and inclusion work. It is not endorsed or certified by Ofsted, and it does not claim to solve attendance; it is built to support the engagement that underpins it.
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.
Sources
- Department for Education, Working together to improve school attendance (GOV.UK)
- Ofsted, Education inspection framework: for use from November 2025 (GOV.UK)
- Information Commissioner’s Office, UK GDPR guidance and resources (ICO)