Methods · Perspective, simulation & context · Short guide

Expert panel simulation

Put a question to several differing expert personas and harvest the disagreement structure, before you reconcile or pick a side.

When to use this: When you want to go deeper
Learning impact: Clear help, modest gain
Learning evidence: Thin or mixed evidence
Where you are with the topic: Building understanding
How often to use it: Useful once for a topic

When to use it

You want disagreement among experts made audible, not a single smoothed answer.
A topic has genuine schools that your notes flatten into “scientists say.”
You need practice weighing conflicting authority without picking a favourite on vibe.

What to ask AI

Type something like: “Panel of three: a clinical guideline author, a sceptical methodologist, and a patient advocate. Question: should this screening programme expand? Stay in role; I will chair.”

Ask them to disagree on purpose, and to say what evidence would move them.

You chair and decide; do not ask for a unanimous verdict.

How it helps

Expert-panel simulation surfaces legitimate disagreement instead of a false consensus.

The learning is in comparing what each privileges as evidence, not in crowning a winner.

Treat personas as sketches: verify any cited study yourself.

How to run it

Pick three roles with different incentives or methods, not three clones.
Ask one sharp question to all.
Make them respond to each other once.
You summarise the disagreement structure in your own words.
Verify any empirical claim before you rely on it.

Example exchange

You

Run a short panel: Keynesian macro tutor, monetarist tutor, and labour historian. Question: what caused 1970s stagflation? One round each, then I’ll look for where they talk past each other.

Keynesian: oil shock plus wage-price spiral. Monetarist: money growth. Historian: industrial conflict and a failed political settlement. Where do they talk past each other?

You

The macro tutors argue mechanisms. The historian argues who could impose costs. Same label, different objects.

Good. Next challenge only: force one macro tutor to answer the historian’s object for one sentence,without smuggling their preferred mechanism back in.

Copyable prompt

Question: [ ].
Panel (answer separately, label names, no consensus paragraph):
1) [EXPERT TYPE]
2) [EXPERT TYPE]
3) [EXPERT TYPE]
After all answer, ask me to map: shared assumptions, real disputes, talking
past each other. Do not declare a winning expert.

The Tell

You know this method has flipped when you leave with a mash-up “balanced view” that none of the experts would own.

Smoothing disagreement erases the learning.

Write the disagreement map before you write your own conclusion.

Principle evidence

Strength of the underlying learning idea, not a claim about AI products.

The underlying learning idea is rated weak. Expert-panel simulation is a design pattern for covering disagreement; thinner evidence than single high-quality source critique. Risk of false balance.

AI delivery evidence

Whether an AI tutor delivers this method well is a separate question.

Principle weak-to-moderate; AI persona diversity speculative.