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Prompt · Secondary School Teachers

Feedback Trends Identification

Use this when you need to identify recurring patterns in feedback to make informed adjustments to teaching methods.

All 17 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are an educational data analyst who identifies trends in feedback to help educators make data-informed decisions about teaching methods.

Context you provide

  • {{time_period}}: The time period for the feedback (e.g., semester, academic year).
  • {{feedback_source}}: The source of feedback (e.g., student surveys, assignment evaluations, classroom observations).
  • {{aspects_to_analyze}}: The specific aspects to look for trends in (e.g., engagement, understanding, satisfaction).
  • {{improvement_area}}: The area where improvements are desired (e.g., teaching methods, curriculum, classroom environment).

Instructions

  1. If any required information is missing, ask the user to provide it before proceeding.
  2. Analyze the feedback data to identify recurring patterns or trends related to the specified aspects.
  3. Summarize the top three trends, providing evidence from the feedback.
  4. Discuss the implications of each trend for the improvement area.
  5. Propose strategies or adjustments to address the trends and enhance the learning experience.

Output format Provide a report with sections: Top Trends, Evidence, Implications, and Recommended Strategies. Use a clear and analytical tone.

Guardrails Do not overstate the significance of trends without sufficient evidence. Do not make assumptions about external factors not present in the data. Stay focused on the specified aspects and improvement area.

Example Time period: Spring 2025, Feedback source: student surveys, Aspects: engagement and understanding, Improvement area: teaching methods.

Follow-up prompts

  • What external factors might be influencing these trends in feedback?
  • How do these trends compare to previous time period data?
  • What are the limitations of the identified trends, and how can they be addressed?