20 Questions

Questions to Ask a Researcher

Rigorous prompts to understand research design, limitations, practical implications, and how to read results without hype.

1

What real-world problem does this research aim to inform?

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Why this works

Anchors theory to practical impact and stakeholders.

2

How was the study designed and why that method?

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Why this works

Connects design choice to validity and constraints.

3

What are the key assumptions—and how did you test them?

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Why this works

Surfaces hidden dependencies that can break findings.

4

What sources of bias were most concerning?

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Why this works

Improves critical reading of sampling and measurement.

5

How big are the effects—and are they practically meaningful?

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Why this works

Distinguishes statistical from practical significance.

6

What do the confidence intervals tell us?

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Why this works

Encourages uncertainty-aware interpretation.

7

How might results differ in other populations or contexts?

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Why this works

Tests generalizability and boundary conditions.

8

What replication or follow-up work is most important?

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Why this works

Promotes scientific humility and next steps.

9

What’s the most honest critique of your own study?

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Why this works

Invites transparency and improves trust.

10

How should practitioners apply (or not apply) these findings?

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Why this works

Translates research into action with guardrails.

11

What data or code are available for review?

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Why this works

Checks openness, reproducibility, and standards.

12

How did you handle missing data and outliers?

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Why this works

Clarifies data hygiene and robustness.

13

Were there preregistered hypotheses or analysis plans?

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Why this works

Reduces p-hacking and hindsight bias.

14

Who funded the work—and any conflicts of interest?

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Why this works

Adds context for potential incentives or pressure.

15

Which figure or table should a busy reader focus on?

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Why this works

Directs attention to decision-relevant evidence.

16

What’s the biggest way media might misinterpret this?

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Why this works

Prepares for clear, responsible communication.

17

What related work should I read next?

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Why this works

Builds a curated path through the literature.

18

If a practitioner has one hour, what’s the best use of it?

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Why this works

Bridges research and practice efficiently.

19

What would you change if you could rerun the study?

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Why this works

Encourages iteration and better future designs.

20

What open question are you most excited about now?

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Why this works

Ends with curiosity and future direction.

Understanding Research Without Hype

Expert tips and techniques for getting the most out of these questions.

Ask About Limits and Use

Start With Design

Method and sampling shape everything downstream.

Quantify Uncertainty

Intervals tell you what’s known versus guessed.

Mind External Validity

Context determines whether results carry over.

Reading Checklist

Five Checks

1
Design
2
Bias
3
Effect size
4
Uncertainty
5
Applicability

Common Pitfalls

P-Value Worship

Look for effect sizes and intervals, not just p<0.05.

Overgeneralizing

Small or narrow samples rarely justify sweeping claims.

Expert Interview Flow

Four Steps

1
Step 1: Problem
2
Step 2: Design
3
Step 3: Findings
4
Step 4: Limits & Use

Further Reading

The Art of Statistics
How to Read a Paper

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