Build a plan to reduce chronic absenteeism at my school
A tiered, data-driven attendance plan with root causes, interventions, and family outreach steps.
The prompt
Help me build a plan to reduce chronic absenteeism.
School level and size: [e.g. "middle school, 640 students"]
Current rate: [% of students missing 10%+ of enrolled days, and trend]
Groups most affected: [grades, student groups, neighborhoods]
Known causes: [e.g. transportation, illness, caregiving, anxiety, suspension, disengagement]
Staff and partners: [e.g. attendance clerk, counselors, social worker, community agencies]
State or district rules: [truancy thresholds, required letters or meetings]
Build the plan in three tiers:
1. Tier 1 (all students): welcoming culture, attendance messaging, recognizing improvement (not just perfect attendance), and early warning reports.
2. Tier 2 (missing 10-19%): personal outreach, attendance contracts, mentors, barrier-removal (bus passes, alarm clocks, health referrals).
3. Tier 3 (20%+): case management, home visits, wraparound services, coordinated plans with families.
For each tier give: who owns it, trigger, actions, timing, and how we track it.
Also include:
- A weekly attendance team meeting agenda using student-level data.
- Draft language for a first-contact message to families that is supportive, not punitive.
- 3 leading indicators to watch monthly.
Note where legal truancy steps apply and mark state requirements as [CONFIRM]. Avoid approaches that push out students, such as suspensions for absences.
Highlighted [brackets] are blanks to replace with your own details.
Fill in the blanks and use this promptMore Projects & Operations prompts
What to fill in
- e.g. "middle school, 640 students"
- grades, student groups, neighborhoods
- truancy thresholds, required letters or meetings
- CONFIRM
How this prompt is built
This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.
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