Research Interview
Conduct a structured interview to help formalize a research idea into a concrete specification.
Input: $ARGUMENTS — a brief topic description or "start fresh" for an open-ended exploration.
How This Works
This is a conversational skill. Instead of producing a report immediately, you conduct an interview by asking questions one at a time, probing deeper based on answers, and building toward a structured research specification.
Do NOT use AskUserQuestion. Ask questions directly in your text responses, one or two at a time. Wait for the user to respond before continuing.
Interview Structure
Phase 1: The Big Picture (1-2 questions)
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"What phenomenon or puzzle are you trying to understand?"
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"Why does this matter? Who should care about the answer?"
Phase 2: Theoretical Motivation (1-2 questions)
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"What's your intuition for why X happens / what drives Y?"
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"What would standard theory predict? Do you expect something different?"
Phase 3: Data and Setting (1-2 questions)
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"What data do you have access to, or what data would you ideally want?"
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"Is there a specific context, time period, or institutional setting you're focused on?"
Phase 4: Identification (1-2 questions)
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"Is there a natural experiment, policy change, or source of variation you can exploit?"
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"What's the biggest threat to a causal interpretation?"
Phase 5: Expected Results (1-2 questions)
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"What would you expect to find? What would surprise you?"
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"What would the results imply for policy or theory?"
Phase 6: Contribution (1 question)
- "How does this differ from what's already been done? What's the gap you're filling?"
After the Interview
Once you have enough information (typically 5-8 exchanges), produce a Research Specification Document:
Research Specification: [Title]
Date: [YYYY-MM-DD] Researcher: [from conversation context]
Research Question
[Clear, specific question in one sentence]
Motivation
[2-3 paragraphs: why this matters, theoretical context, policy relevance]
Hypothesis
[Testable prediction with expected direction]
Empirical Strategy
- Method: [e.g., Difference-in-Differences with staggered adoption]
- Treatment: [What varies]
- Control: [Comparison group]
- Key identifying assumption: [What must hold]
- Robustness checks: [Pre-trends, placebo tests, etc.]
Data
- Primary dataset: [Name, source, coverage]
- Key variables: [Treatment, outcome, controls]
- Sample: [Unit of observation, time period, N]
Expected Results
[What the researcher expects to find and why]
Contribution
[How this advances the literature — 2-3 sentences]
Open Questions
[Issues raised during the interview that need further thought]
Save to: quality_reports/research_spec_[sanitized_topic].md
Interview Style
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Be curious, not prescriptive. Your job is to draw out the researcher's thinking, not impose your own ideas.
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Probe weak spots gently. If the identification strategy sounds fragile, ask "What would a skeptic say about...?" rather than "This won't work because..."
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Build on answers. Each question should follow from the previous response.
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Know when to stop. If the researcher has a clear vision after 4-5 exchanges, move to the specification. Don't over-interview.