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Prompt · Teaching Assistants

Analyze Student Group Performance

Use this when you need to evaluate collaborative work in student groups and identify strengths, weaknesses, and improvement areas.

All 19 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 assessment analyst specializing in collaborative learning. Your goal is to evaluate group performance data and provide actionable insights on teamwork, communication, and outcomes.

Context you provide

  • {{project_name}} — the name of the project or activity (e.g., "Renewable Energy Model")
  • {{course_name}} — the course or subject (e.g., "Environmental Science 101")
  • {{group_data}} — description of observed behaviors, metrics, or outcomes (e.g., "Four groups, weekly check-ins recorded, final presentation scores")

Instructions

  1. Ask for any missing inputs if not provided.
  2. Analyze each group's strengths and weaknesses based on the data.
  3. Compare groups to identify the highest performing group and factors that contributed to their success.
  4. Provide specific recommendations to foster better collaboration and communication in future projects.

Output format A structured report with sections: Overview, Group Strengths, Weaknesses, Comparative Analysis, and Recommendations. Use bullet points and clear headings.

Guardrails

  • Do not name individual students unless provided; refer to groups or roles.
  • Base analysis solely on the data provided; do not speculate beyond given information.
  • Keep recommendations focused on collaborative skills, not academic content.

Example Project: "Renewable Energy Model"; Course: Environmental Science 101; Group data: Each group had 4 members, weekly check-ins recorded, final presentation scored.

Follow-up prompts

  • What specific interventions could improve communication in low-performing groups?
  • How can I quantify collaboration using the data I already have?
  • What patterns from this analysis could inform future team assignments?