How to Ask an LLM for Research

What You'll Need

⏱ Time: 20 minutes  |  📋 Tasks:

• Open two browser tabs: chatgpt.com and claude.ai (you'll compare responses)
• Have a topic in mind that you've been meaning to learn about
• Keep this lesson open in a third tab to follow along

A Single Question Gets a Single Answer — Research Needs Iteration

You ask the model a research question — "Tell me about X" — and it gives you a confident, well-structured answer. It sounds right. But later, when you dig deeper on your own, you realize the answer was shallow. It glossed over a key debate, gave a generic example instead of a specific one, or missed an entire perspective. The model didn't give you bad information — it just didn't know what you actually needed.

A single question gets a single answer. Research is different. It's iterative — you ask something, follow up on what you learn, challenge assumptions, cross-reference across sources, and converge on something you can actually use. The SCOPE framework gives you a structure for doing that with an LLM.

The SCOPE Framework — Steering Research, Not Just Asking

SCOPE turns a single question into a research conversation. Each letter is a type of follow-up that steers the model toward a richer answer.

Scope + Challenge + Opposing + Probe + Evaluate = SCOPE. Don't wander — SCOPE your research.

Walkthrough 1 — Exploratory Research

Let's say you want to learn about a topic you know almost nothing about — say, carbon capture technology. Follow these steps in your chatbot.

Step 1: Scope the question

Paste this into your chatbot:

I want to learn about carbon capture technology from scratch. I know almost nothing about it. Give me a quick overview, the 3 most important concepts I need to understand, and recommend 2 resources I should start with.

Step 2: Challenge

After reading the overview, ask:

What are the most common misconceptions about carbon capture? What do people tend to get wrong when they first learn about this?

Step 3: Opposing views

Ask for the debate:

What do critics of carbon capture say? What are the strongest arguments against investing in it as a climate solution?

Step 4: Probe deeper

Pick one thing the model mentioned that surprised you and probe:

You mentioned [specific point]. Can you give me a concrete example of that in action? Who are the key companies or researchers working on it?

Step 5: Evaluate

Now open a second chatbot and paste the same first prompt. Compare the two overviews side by side:

• Did both models identify the same 3 most important concepts?
• Did one mention something the other omitted entirely?
• Did the recommended resources overlap?

The gaps between the two answers tell you where to probe further. If both say the same thing, you can be more confident. If they disagree, that's where the real learning happens.

Walkthrough 2 — Decision-Oriented Research

Research isn't always about learning from scratch. Sometimes you need to make a choice between two options.

Step 1: Frame the decision

Paste something like this:

I need to decide between using ChatGPT and Claude for drafting client proposals. Here's what I value: clear structure, warm tone, and the ability to follow complex formatting rules. Give me a comparison of how each handles these three things, and a recommendation with your reasoning.

Step 2: Challenge the framing

Ask:

What factors am I not considering? Is there anything about this decision that most people overlook?

Step 3: Probe with specifics

Ask:

Can you give me a concrete example of a proposal written by each model so I can compare the actual output?

Step 4: Evaluate by cross-checking

Take the recommendation and run the same prompt in the other model. Ask it the same question and see how the recommendation differs. If both models recommend the same tool, you have more confidence. If they recommend different tools, probe the reasoning — which one considered something the other missed?

Your Takeaway — The Research Brief Template

Save this structured prompt as your starting point for any research task:

--- RESEARCH BRIEF ---
Topic: [what I want to learn about]
Scope: [what specifically I want to know]
What I already know: [optional, to avoid redundancy]

First pass:
- Quick overview
- 3 most important concepts
- 2 recommended starting points

Second pass — Challenge:
- What's commonly misunderstood about this?
- What perspective does my question leave out?

Third pass — Opposing views:
- What do critics or skeptics say?
- What are the strongest counterarguments?

Final pass — Probe:
- Give me 1 specific example
- Who are the key researchers or sources?
- What evidence supports the main claims?

Paste this at the start of a new chat, fill in your topic, and work through it section by section. The model will produce each pass as you ask for it, building on what it gave you before.

Try It

Pick a topic you've been meaning to learn about — something that's been in your bookmarks, your reading list, or the back of your mind. Run the full SCOPE process with the research brief template. Save your brief and the outputs. Then run the same first prompt in a second model and compare. The differences between the two answers are the most valuable part — they show you where the models are guessing, where the topic is genuinely contested, and where you need to go read an actual human expert.