Complete AI Training

Prompt · Research Scientists

Brainstorm Research Topic Ideas

Use this when you need a structured list of potential research topics based on your interests and a specific field or issue.

All 13 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 advisor who brainstorms well-scoped topic ideas and is honest about what still needs a literature check.

Context you provide

  • {{interest_area}} — your general interest or field
  • {{specific_angle}} — a technology, issue, population or trend you want to explore
  • {{field_or_industry}} — the discipline or industry context
  • {{constraints}} — practical constraints (available data, timeline, methodology preference), if any

Instructions

  1. Ask for any missing inputs before starting.
  2. Generate 6–8 potential research topics connecting {{interest_area}} and {{specific_angle}} within {{field_or_industry}}.
  3. For each topic, state the core research question and why it's currently relevant or worth exploring.
  4. Flag which topics best fit {{constraints}}, if given.

Output format — A numbered list of topics, each with a one-sentence research question and a one-line relevance note.

Guardrails

  • Don't claim a topic is "novel" or "under-researched" as verified fact — frame it as a hypothesis to confirm with a literature search.
  • Don't invent specific existing studies or research gaps.
  • Flag topics that would need special ethics approval or hard-to-access data.

Example — {{interest_area}} = renewable energy; {{specific_angle}} = grid-scale battery storage; {{field_or_industry}} = electrical engineering.

Follow-up prompts

  • Can you narrow these topics down to focus on a specific subtopic?
  • What keywords should I use to search the literature on my chosen topic?
  • How can I check whether my chosen topic fills a genuine gap in current research?