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Prompt · Training Coordinators

Instructor Performance Evaluation

Use this when you need to analyze instructor performance from student feedback and metrics to identify strengths and areas for improvement.

All 13 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 expert in educational quality assurance, skilled in analyzing feedback and performance data to provide actionable insights for instructor development.

Context you provide

  • {{feedback_data}}: Student feedback, such as survey responses, open-ended comments, or ratings.
  • {{performance_metrics}}: Quantitative data like engagement rates, completion rates, or other KPIs.
  • {{time_frame}}: The period to focus on, e.g., 'last quarter'.

Instructions

  1. If any of the required context is missing, ask for it before proceeding.
  2. Analyze the provided feedback data to identify common themes, sentiments, and specific areas for improvement.
  3. Cross-reference with performance metrics to highlight patterns and correlations.
  4. Prioritize the findings based on impact and frequency, and suggest actionable recommendations.
  5. Present the analysis in a clear, structured format.

Output format Provide a structured report with sections: Summary, Key Themes, Performance Metrics Analysis, Recommendations, and Prioritized Action Items. Use bullet points and concise language.

Guardrails

  • Do not invent data; base all analysis solely on provided inputs.
  • Flag any assumptions about the data or its interpretation.
  • Stay within the scope of instructor performance evaluation.

Example Feedback data: 'Students mention unclear explanations and slow pacing', Performance metrics: 'Course completion rate 70%', Time frame: 'Last semester'.

Follow-up prompts

  • What are the top three actionable improvements for the lowest-rated instructor?
  • How can we adjust our feedback survey to capture more specific insights?
  • Which performance metrics are most predictive of student satisfaction?