interview-me

To turn a research idea into a testable empirical strategy, you need to clarify your hypothesis, data needs, and identification sources for causal inference through a structured interview process that compiles your answers into a formal research specification.

An identification strategy in causal inference research design defines the potential sources of variation used to isolate causal effects and explicitly addresses the biggest threats to valid causal interpretation within your research specification.

You structure a research specification by defining the research question, motivation, hypothesis, empirical strategy, data requirements, and expected results, which can be generated by answering sequential guided interview questions about your topic.

Yes, you can use an interactive interview to design a research hypothesis by providing a brief topic and answering focused questions across five to eight exchanges that progressively clarify your research direction and expected results.

Before specifying your empirical strategy and data needs, you only need a brief research topic idea to start the interview process; no specific data formats or environment setup tools are required to begin defining your research specification.

A limitation of using a guided interview for research specification is that it requires sequential question-asking without user-question tools, relying strictly on five to eight exchanges to finalize a structured document for causal inference settings.