# Simulate the questions an expert would ask — Gemini Notebook prompt

> The clarifying, probing, and generative questions a world-class expert in this domain would actually press these sources with.


_Markdown version of https://gemini-notebook-hub.online/prompts/deep-analysis/expert-interview-simulation — for AI and LLM crawlers. Content is identical to the web page._

---
- Category: Deep analysis
- Goes in: Chat message

Shared by [Sourclip](https://www.sourclip.com/resources/prompts/expert-interview-simulation)

## The prompt

```
Simulate the questions a world-class expert in this domain would ask after reading every source in this notebook.

Produce 15 questions, grouped as:
1. Five clarifying questions — things an expert would need answered before forming any opinion. These should expose ambiguity in the sources.
2. Five probing questions — questions that test whether the strongest claims actually hold up. These should target weak evidence, suspicious certainty, or missing context.
3. Five generative questions — questions that open the topic to new territory: what would change everything? what would the sources predict about adjacent problems they don't address?

For each question:
- Phrase it the way an expert would actually ask it — concrete, not abstract.
- Note which source(s) would be most relevant to the answer, or "Not addressed by current sources" if none.
- Add a one-sentence note on what a strong answer would unlock.

Avoid soft, polite, or beginner-friendly questions. These should be questions an author would lose sleep over.
```

## How to use it

1. Open your notebook at notebooklm.google.com.
2. Replace the [bracketed] parts with your specifics.
3. Paste the prompt into the chat box and send it.

Square brackets mark the parts you replace with your own topic or question.

## More deep analysis prompts

- [The senior-researcher synthesis](https://gemini-notebook-hub.online/prompts/deep-analysis/senior-researcher-synthesis.md)
- [The insight meta-prompt (v5.1)](https://gemini-notebook-hub.online/prompts/deep-analysis/insight-meta-prompt.md)
- [Neural triangulation](https://gemini-notebook-hub.online/prompts/deep-analysis/neural-triangulation.md)
- [Index the sources first](https://gemini-notebook-hub.online/prompts/deep-analysis/topic-index-first.md)
- [Explain each topic, one by one](https://gemini-notebook-hub.online/prompts/deep-analysis/explain-one-by-one.md)
- [Find every quote on a topic](https://gemini-notebook-hub.online/prompts/deep-analysis/find-every-quote.md)
- [Where do two sources disagree?](https://gemini-notebook-hub.online/prompts/deep-analysis/where-sources-disagree.md)
- [What does this research not cover?](https://gemini-notebook-hub.online/prompts/deep-analysis/coverage-gaps.md)
- [Attack the weakest argument](https://gemini-notebook-hub.online/prompts/deep-analysis/weakest-argument.md)
- [The one-paragraph synthesis](https://gemini-notebook-hub.online/prompts/deep-analysis/one-paragraph-synthesis.md)
- [Structured research brief](https://gemini-notebook-hub.online/prompts/deep-analysis/structured-research-brief.md)
- [Compare arguments across sources](https://gemini-notebook-hub.online/prompts/deep-analysis/cross-source-argument-compare.md)
- [Extract the surprising insights](https://gemini-notebook-hub.online/prompts/deep-analysis/surprising-insights.md)
- [Find the open questions worth researching](https://gemini-notebook-hub.online/prompts/deep-analysis/open-questions.md)
- [Hidden assumptions audit](https://gemini-notebook-hub.online/prompts/deep-analysis/hidden-assumptions-audit.md)
- [Find recurring patterns across sources](https://gemini-notebook-hub.online/prompts/deep-analysis/cross-source-pattern-recognition.md)
- [Connect ideas across unrelated sources](https://gemini-notebook-hub.online/prompts/deep-analysis/synthesis-across-unrelated-sources.md)
- [Reconstruct the timeline across all sources](https://gemini-notebook-hub.online/prompts/deep-analysis/timeline-reconstruction.md)
- [Read the sources through four stakeholder lenses](https://gemini-notebook-hub.online/prompts/deep-analysis/stakeholder-lenses.md)
- [Detect weak signals in the noise](https://gemini-notebook-hub.online/prompts/deep-analysis/weak-signal-detection.md)
- [Rank source credibility and bias](https://gemini-notebook-hub.online/prompts/deep-analysis/source-credibility-audit.md)
- [Reduce this topic to first principles](https://gemini-notebook-hub.online/prompts/deep-analysis/first-principles-breakdown.md)
- [Stress-test the main argument](https://gemini-notebook-hub.online/prompts/deep-analysis/stress-test-main-argument.md)

