Write teacher observation feedback aligned to an evaluation framework
Turns classroom observation notes into evidence-based, rubric-aligned feedback with one clear next step.
The prompt
Help me write feedback from a classroom observation.
Evaluation framework: [e.g. Danielson, Marzano, state model, district rubric]
Domains or components observed: [LIST]
Teacher experience: [e.g. "2nd-year teacher", "veteran on a growth plan"]
Lesson context: [grade, subject, objective]
My observation notes: [PASTE - timestamps, what teacher and students said and did]
Formal or informal: [DETAILS]
Steps:
1. Sort my notes into the framework components as low-inference evidence (what was seen and heard, not judgments).
2. Suggest a rating for each component with the rubric language that matches the evidence; flag any rating my notes cannot support.
3. Name 1-2 strengths, each tied to evidence and student impact.
4. Choose one high-leverage next step, phrased as an action the teacher can try this week, with a model or example.
5. Write 2-3 reflection questions for the post-observation conference.
Rules:
- Separate evidence from interpretation; no words like "lazy" or "unprepared".
- Focus on what students were doing and learning, not just teacher moves.
- Stay within the evaluation agreement and any union contract terms on timelines and use of informal observations; mark [CONFIRM] where unsure.
Return: evidence by component, suggested ratings, written feedback (under 300 words), and the conference questions.
Highlighted [brackets] are blanks to replace with your own details.
Fill in the blanks and use this promptMore Leadership & Management prompts
What to fill in
- e.g. Danielson, Marzano, state model, district rubric
- LIST
- e.g. "2nd-year teacher", "veteran on a growth plan"
- grade, subject, objective
- PASTE - timestamps, what teacher and students said and did
- DETAILS
- 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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