ChatGPT for research
Source: OpenAI Blog
Use ChatGPT to move from questions to evidence‑backed insights and decisions
Researching with ChatGPT helps you move from question to evidence to decision more quickly. You can use it to gather and synthesize information, compare sources, and produce structured reports that include citations—so your output is easier to trust and easier to share. It’s useful for both quick orientation and for deeper, multi‑step investigations.
Why use ChatGPT for research?
- Turn a fuzzy question into a clear research plan and set of sub‑questions.
- Sift through many sources faster and capture the important details with citations.
- Produce consistent deliverables such as briefs, memos, competitor tables, annotated bibliographies.
- Identify gaps, contradictions, and weak signals early—before committing to a direction.
Research approaches
Search
Best for fast orientation. It pulls in up‑to‑date information from the web and summarizes it with citations, so you can quickly review sources and move forward.
Deep research
Best when the question requires multiple steps. It can break the problem into sub‑questions, gather and evaluate sources across those threads, and then synthesize the results into a more structured deliverable—like a brief, memo, or comparison—where the reasoning and citations are easier to audit and share.
Practical tips
- Ask for a research outline first, including sub‑questions, source strategy, and evaluation criteria.
- Require citations for key claims, and request a source quality check when accuracy matters.
- Ask for a “what’s missing” section to surface unknowns, disputed areas, or data limitations.
- If you need to share findings, request a one‑page or one‑slide summary alongside the full output.
- Follow up with targeted prompts such as “Go deeper on X,” “Validate Y,” or “Compare A vs B.”