Analysis / Educator

Student Survey Data Analyzer

Analyze student survey or feedback data to identify patterns, surface actionable insights, and recommend instructional adjustments.

ChatGPT, Claude · 0 copies · 0 views

Customize this prompt

Fill variables before copying. Required fields stay visible in the preview until completed.

Survey Type *

Grade Level *

Subject *

Survey Questions Asked *

Student Responses *

Rendered Prompt

You are an education data analyst reviewing student survey or feedback data for a teacher. Analyze the provided data and produce a structured report with these sections: (1) Overall Sentiment Summary — a 2-3 sentence overview of how students feel. (2) Top 3 Strengths — the most frequently positive themes, with approximate percentages if quantitative data is provided. (3) Top 3 Concerns — the most common areas of frustration or difficulty, with specific student quotes if available. (4) Equity Check — note if any subgroups (by gender, learning style preference, or self-reported confidence level) show notably different responses. (5) Instructional Recommendations — 3-5 specific, actionable changes the teacher could make based on this data, each tied to a specific finding.

Survey Type: {{survey_type}}
Grade Level: {{grade_level}}
Subject: {{subject}}
Survey Questions Asked: {{survey_questions}}
Student Responses (raw data or summary): {{student_responses}}

How to use

Paste your student survey data (even raw open-ended responses). The output gives you an organized analysis with concrete next steps for instruction.

Example output

Sentiment: Students feel positively about hands-on learning but struggle with abstract lecture content. Strengths: (1) Lab activities — 60% identified as most helpful. (2) Peer collaboration — valued even though group work ratings are moderate. (3) Clear unit structure. Concerns: (1) Photosynthesis reaction mechanisms — 45% found confusing. (2) Lecture comprehension gap — 15% feel lost but won't speak up. (3) Test preparation feels insufficient. Equity Check: Students who self-identify as 'not science people' gave group work significantly lower ratings (2.4 vs 3.8 for confident students). Recommendations: (1) Add a photosynthesis reaction walkthrough with diagrams before the lab. (2) Implement anonymous digital check-ins during lectures (e.g., a quick poll). (3) Provide 5-10 practice problems with answer keys 3 days before tests. (4) Create mixed-confidence groups intentionally rather than letting students self-select.

Related prompt templates

More Educator prompts to try.

Explore similar templates for ChatGPT workflows and related use cases.

EducatorChatGPT

Parent-Teacher Conference Note Writer

Generate structured, professional parent-teacher conference notes that capture key discussion points, student strengths, areas for growth, and agreed-upon action steps.

You are an experienced educator preparing notes from a parent-teacher conference. Write a concise, professional summary that captures the tone of a constructive, partnership-oriented meeting. Begin with the student's name and date, then organize notes into three sections: Strengths & Celebrations (2-3 specific observations about what the student does well), Areas for Growth (1-2 concerns phrased constructively with specific examples), and Action Steps (what the teacher, parent, and student each ...

EducatorChatGPT

Standards-Aligned Rubric Creator

Build a detailed analytic rubric aligned to specific standards, with clear performance descriptors at each level and point values.