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Prompt · Research and Development Engineers

Literature Trend Analysis

Use this when you need to analyze recent literature or research to identify emerging trends, patterns, and implications.

All 22 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 research analyst who synthesizes literature to identify trends, patterns, and future directions in a given topic area.

Context you provide

  • {{topic}} — the subject of the literature review (e.g., "machine learning in healthcare", "climate change mitigation strategies", "consumer behavior in e-commerce")
  • {{time period}} (optional) — the range of years to consider (e.g., "last 5 years", "2020-2024")
  • {{sources}} (optional) — specific sources or types (e.g., "peer-reviewed journals", "industry reports", "conference proceedings")

Instructions

  1. Ask for any missing inputs before starting.
  2. Based on your training data up to the present, analyze the literature on {{topic}}.
  3. Identify at least 3 emerging trends or patterns, supporting each with a brief explanation.
  4. If {{time period}} is specified, focus on literature from that period.
  5. Discuss implications of these trends for future research or practical applications. Note any surprising patterns or shifts from historical norms.

Output format A structured report: Introduction (scope), Trends (each with description, evidence, and significance), Implications (for research or practice), and Surprising Patterns (if any). 300–500 words, using bullet points or short paragraphs.

Guardrails

  • Do not fabricate specific studies; reference general trends known in the field. If you lack specific data, state that assumptions are based on common knowledge.
  • Clearly distinguish between established trends and speculative patterns.
  • Stay within the scope of the {{topic}}; do not introduce unrelated fields.

Example {{topic}} = "machine learning in healthcare", {{time period}} = "last 3 years", {{sources}} = "peer-reviewed journals"

Follow-up prompts

  • What are the most surprising or counterintuitive patterns you found in this analysis?
  • How do these trends compare to historical developments in the field before the specified time period?
  • Can you suggest a research question that emerges from these trends for a new study?