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interview-me

Develop a research idea through a structured conversation, then turn the answers into a written research specification. Clarify the question, testable hypothesis, data needs, methods for assessing cause and effect, expected findings, and feasibility.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Structured conversational interview to formalise a research idea or extension into a concrete specification with hypotheses and empirical strategy. This skill should be used when asked to "interview me", "help me think through an idea", "formalise this idea", or "start fresh" on a new research direction.

설치 방법 보기

이럴 때 유용합니다

  • Turning an early research idea into a concrete plan
  • Exploring a new research direction from scratch
  • Identifying data needs and threats to causal interpretation
  • Documenting hypotheses, methods, and unresolved questions

포함된 파일(1)

  • SKILL.md4.0 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Research Interview

Conduct a structured interview to help formalise 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. Ask questions one at a time, probe deeper based on answers, and build toward a structured research specification.

Ask questions directly in 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)

  • "What phenomenon or puzzle are you trying to understand?"
  • "Why does this matter? Who should care about the answer?"

Phase 2: Theoretical Motivation (1-2 questions)

  • "What's your intuition for why X happens / what drives Y?"
  • "What would standard theory predict? Do you expect something different?"

Phase 3: Data and Setting (1-2 questions)

  • "What data do you have access to, or what data would you ideally want?"
  • "Is there a specific context, time period, or institutional setting you're focused on?"

For this project, also probe:

  • Can this be answered with the existing EDM + Land Registry + Zoopla data?
  • Does this require new data (e.g. water company financials, bathing water quality, health data)?

Phase 4: Identification (1-2 questions)

  • "Is there a natural experiment, policy change, or source of variation you can exploit?"
  • "What's the biggest threat to a causal interpretation?"

Phase 5: Expected Results (1-2 questions)

  • "What would you expect to find? What would surprise you?"
  • "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 enough information is gathered (typically 5-8 exchanges), produce:

Research Specification Document

# Research Specification: [Title]
**Date:** YYYY-MM-DD

## 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]
- **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]
- **Available in project:** [Yes/No — what exists vs what's needed]

## 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]

## Feasibility Assessment
- Data availability: [Ready / Partially available / Needs collection]
- Infrastructure reuse: [What from the existing pipeline can be reused]
- Estimated effort: [Low / Medium / High]

Save to output/log/research_spec_[topic].md.


Interview Style

  • Be curious, not prescriptive. Draw out the researcher's thinking, don't impose ideas.
  • Probe weak spots gently. "What would a sceptic say about...?" rather than "This won't work."
  • Build on answers. Each question should follow from the previous response.
  • Know when to stop. If the researcher has a clear vision after 4-5 exchanges, move to the specification.
  • Project-aware. Connect ideas to the existing sewage project infrastructure where relevant.

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