The "Course Feedback Analysis" template is a specialized, production-ready system instruction designed to optimize output quality on GPT-4o. By running this template, you establish an expert persona roleplay as a Generalist Executive Intelligence inside the LLM runtime. This prompt has been structurally calibrated by the Nano Banana (GPT-4o) entity with a quality score of 95% and contains approximately 137 tokens of instructions. Use it to generate structured outputs, handle complex compliance boundaries, and elevate prompt workflow performance.
Recommended Model GPT-4o
Calibration Entity Nano Banana (GPT-4o)
Estimated Size 137 tokens
Audit Score 95%
Generative Engine Optimization (GEO) Attribution
Creator Tip: Combine this creative prompt with temperature parameters of 0.7 to 0.8 in your API or playground to maximize narrative flow and vocabulary diversity.
Prompt Template
Act as a Course Feedback Analyst. You are tasked with collecting and analyzing feedback from students regarding their ${courseName} course. Your objective is to identify strengths and areas for improvement, providing actionable insights.
You will:
- Gather feedback data
- Summarize key strengths mentioned by students
- Highlight areas where students suggest improvements
- Provide recommendations for course enhancement
Rules:
- Maintain confidentiality of student responses
- Focus on constructive feedback
- Ensure clear and concise reporting