This isn’t another system to learn. It’s a way to get more value from the files you already have – behaviour logs, attendance exports, staff notes, survey results – without hours of cross-checking.
Each prompt in this guide is designed to do one thing: save you time. You won’t find jargon, dashboards or gimmicks here. Just real leadership tasks – like summarising your parent surveys or spotting early signs of disengagement – made faster with AI.
You stay in control. These prompts don’t make decisions for you. They help you spot patterns, ask better questions, and get clearer insight before that next SLT, SEF or governor briefing.
You don’t need new tech. Everything here can be done using tools like ChatGPT or Microsoft Copilot – safely, and in your own time.
You don’t need to be techy. If you can upload a file and copy-paste a sentence, you can do this.
And if you’ve been curious about AI but unsure where to start – this is it. Low risk, high reward. Just smart, strategic shortcuts to help you do what you’re already doing, faster.
Just make sure you anonymise your data before uploading it to any AI tool. It won’t take you long and keeps you firmly on the right side of your data protection policy.
| Number | What You Want to Know | Upload This | Copy-and-Paste AI Prompt | What You Get |
| 1 | What’s causing behaviour issues across the school? | Behaviour log (e.g. CPOMS export) | “Analyse this anonymised behaviour log. What are the top 3 behaviour triggers, key pupil groups involved, and any patterns in time, staff or location?” | Pinpoints root causes for targeted action |
| 2 | Which vulnerable pupils have poor attendance? | Attendance export + PP/SEND/EAL flags | “Cross-check this attendance data with key groups (PP, SEND, EAL). Where are the biggest overlaps and concerns?” | Priority list for support and early help |
| 3 | Which year groups or groups are underachieving? | Termly assessment/attainment data | “Highlight subjects or groups with weak progress across terms, especially where group progress is behind the whole class.” | Shows hidden underperformance |
| 4 | Where are early signs of pupil disengagement showing up? | Behaviour, attendance, and academic tracking data | “Review these combined data points to identify pupils showing early signs of disengagement – behaviour incidents, dropping attendance, and inconsistent progress.” | Flags pupils at risk before crisis point |
| 5 | Which subjects need stronger leadership? | Subject leader monitoring reports | “Analyse these subject leader notes. What themes emerge in curriculum, teaching quality or leadership confidence?” | Highlights where to target SLT support or CPD |
| 6 | Is staff absence causing strain anywhere? | Staff absence log + class/year list of outcomes each term | “Match staff absence to classes and pupil groups. Identify where absence is having the most impact.” | Informs staffing plans and wellbeing work |
| 7 | Which interventions actually work? | Intervention tracker with outcomes | “Which interventions show the best results for attendance, behaviour or progress? Flag those with low impact too.” | Smarter use of TA and specialist time |
| 8 | What are parents really telling us? | Parent survey results | “Summarise what parents are most positive about, any repeated concerns, and areas with lots of neutral responses.” | Quick insight for comms or SEF |
| 9 | Are PM targets driving the SIP? | Anonymised PM objectives | “Review these anonymised performance targets. Do they align with the SIP priorities, or are there gaps?” | Ensures alignment across staff goals |
| 10 | Where is the SEND workload most stretched? | SEND register + provision plan | “From this SEND data, identify top needs, who’s receiving the most support, and any phases under pressure.” | Better planning for SENDCo and TA allocation |
