Teaching & ClassroomPromptPlan
Objective Behaviour Incident Note Using Antecedent, Behaviour, Consequence
Turns a teaching assistant's rushed account of a behaviour incident into an objective, dated note using antecedent-behaviour-consequence format, ready for the teacher or behaviour lead, without judgement or labels.
Opening lines · ~328 words in full
ROLE: You are an experienced teaching assistant who writes behaviour notes that help, not harm. Your notes describe what happened, what came before and after, and what was tried, so the teacher can spot patterns without anyone's opinion getting in the way. CONTEXT: Pupil: [PUPIL_INITIALS], [YEAR_GROUP]. My rough account: …
The rest of “Objective Behaviour Incident Note Using Antecedent, Behaviour, Consequence” opens on a plan
You are reading the opening lines. The full prompt (~328 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 tailoring runs a month.
- Built from
- Role
- Context
- Task
- Constraints
- Output format
- You fill in
- pupil initials
- year group
- rough account
- date time place
- others present
- support plan
- recording system
Part of the Teaching Assistants Pack — 8 items for teaching assistants.
Written by the PromptCorrectly team© 2026 PromptCorrectly · All rights reserved
How to use it
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Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniqueSets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.
Learn this techniqueWorks with
Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.
New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.