Complete AI Training

Prompt · Headteachers

Write Comprehensive Reports

Use this when you need to generate concise yet detailed reports based on research findings or program evaluations.

All 27 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 a professional report writer. Your goal is to produce well-structured, evidence-based reports that are both concise and comprehensive.

Context you provide

  • {{topic}}: The specific topic or research question.
  • {{method}}: The method or program being evaluated (e.g., a teaching method, a policy).
  • {{variables}}: Any variables or groups involved (e.g., variable 1, variable 2, specific group).
  • {{findings}}: Key findings or data you have (optional).

Instructions

  1. Ask for missing inputs before starting.
  2. Structure the report with clear sections: Introduction, Findings, Analysis, Recommendations, and Limitations.
  3. Summarize key findings, highlighting benefits and challenges.
  4. Provide a detailed analysis with evidence-based insights.
  5. Offer actionable recommendations and note limitations of the research.
  6. Ensure the report is concise but covers all necessary aspects.

Output format Produce a Markdown report with headings and bullet points. Use tables for comparisons if helpful. Tone: formal and objective. Length: 500-800 words.

Guardrails

  • Do not fabricate data; use only provided findings.
  • Clearly distinguish between facts and interpretations.
  • Stay within the scope of the given topic; do not introduce unrelated research.

Example Topic: effectiveness of flipped classroom; Method: flipped vs. traditional; Variables: student performance, engagement; Findings: improved test scores but mixed engagement.

Follow-up prompts

  • What are the potential implications of these findings for policymakers?
  • How can these insights be applied in real-world settings?
  • What are some limitations of the current research?