GPT Tasks/Narrow a Research Question
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Research · GPT Task

Narrow a Research Question

Turn a broad topic into a bounded, answerable research question with scope choices, key terms, feasibility checks, assumptions, and next research steps.

Context → structured prompt → explicit AI handoff

Runs in this browser. No upload by this page. External AI handoff is explicit. Review before sharing.

Prompt workbenchConfigure → review → use
01

Configure task

Setup
Enter the topic, issue, phenomenon, or rough question you want to narrow.
Course, project, audience, discipline, decision, assignment, or other reason for the research.
Prompt style
Additional options
Timeframe, geography, population, source availability, word count, method, exclusions, or access limitations.

What you’ll need

  • Broad topic plus the purpose, level, or constraints of the research
  • Broad topic or starting question
  • Purpose and research context

What you’ll get

  • Broad-topic diagnosis
  • Candidate narrowed questions
  • Recommended question
  • Scope boundaries
  • Key terms to define
02

Prompt preview

Editable

Review or edit the generated prompt before you copy it or explicitly open an AI chat.

Export

ChatGPT opens with the current prompt prepared. Gemini copies the current prompt, then opens Gemini so you can paste it. Keep secrets and sensitive information out of URL-carried prompts.

Task referenceExamples, expected output, boundaries, and routing.

Examples

1. Education topic

Context: Broad topic: social media and student learning. Context: undergraduate research paper with six weeks available.

Goal: Narrow to a feasible comparative or relationship question.

Useful output: 3 candidates, recommended question, population/timeframe boundaries, terms, source needs, next steps.

2. Business research

Context: Broad topic: remote work and employee retention. Context: internal research brief using existing company data.

Goal: Create a bounded evaluative question without assuming causation.

Useful output: Candidate questions, recommended wording, variables/context, evidence needs, limitations.

3. Historical topic

Context: Broad topic: public transit and urban development. Context: high-school research project with library sources only.

Goal: Narrow geography and timeframe to something answerable.

Useful output: Feasible questions, scope, definitions, likely source categories, research steps.

Expected output

  • Broad-topic diagnosis
  • Candidate narrowed questions
  • Recommended question
  • Scope boundaries
  • Key terms to define
  • Feasibility and evidence needs
  • Assumptions/limitations
  • Next search or research steps

Truth boundary

Do not invent sources, findings, citations, available data, or feasibility evidence. Avoid causal wording unless the proposed method can actually support causal inference. Keep academic-integrity responsibility explicit.

Overlap guard: This task frames a researchable question before research. If the user already has a PDF and wants source-grounded answers from it, route to MG-GPT-0002.

Privacy and handoff

Runs in this browser. No upload by this page. Copy/download locally or explicitly open ChatGPT or Gemini. Source files are attached in the chosen AI service, not uploaded by Mycelgrid. Review the generated prompt and AI output before using or sharing it.