This guide outlines prompts you can use to get instant snapshots of your school day with Ask Arbor. These are the types of prompts you can find when you click the Today tile to start a new chat. 'Today' prompts aim to provide immediate figures, like morning late arrivals or absent students, without requiring follow-up questions.
The series
This guide is a part of our Ask Arbor Prompt Library series. The example prompts in this series show you the types of questions and requests you can make directly to Ask Arbor to save time, reduce admin, and get the insights you need - fast.
The guides in this series are:
What are prompts?
Prompts are your instructions for Ask Arbor. Your prompts shape how Ask Arbor responds and acts. A good prompt tends to lead to a good output. If your prompt is vague or ambiguous, Ask Arbor will often ask you follow-up questions to help narrow down exactly what you are looking for.
To use a prompt, click the Ask Arbor button in the top-right corner of your MIS to open Ask Arbor and start a conversation by typing to try out the prompts in this guide.
Find more tips on getting started with Ask Arbor here: How do I open and use Ask Arbor?
Want to write your own prompts? Read our advice here: Prompt Like a Pro - Ask Arbor and Arbor AI
Attendance
Get an immediate overview of today's attendance figures, including morning late arrivals, absent students, and overall year-to-date attendance milestones.
"How many students have been marked absent today?"
"How many students were late to registration this morning?"
"Show me the number of students who have achieved at least 95% attendance this academic year."
Cover & Staffing
Use these prompts to quickly assess daily staffing capacity by checking who is currently absent and pulling up the day's cover list.
- "Show me today's cover list"
- "What staff are absent today?"
- "Show me teachers who are available to cover at [Time] today"
Behaviour
"Who is scheduled for detention today?"
"How many behaviour incidents have been logged today?"
Tips for using Ask Arbor
- Be specific — the more detail you include (year group, subject, date range), the more accurate the response.
- Use natural language — just type as you’d ask a colleague.
- Try follow-up questions — Ask Arbor remembers your context within a single chat.
- You can export, save, or share many Ask Arbor results depending on your role permissions in Arbor.
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