research-ideation

To generate testable hypotheses and research questions, provide a topic or dataset description to produce 3-5 structured queries ordered from descriptive to causal, each paired with an empirical identification strategy and data requirements.

An empirical identification strategy in causal inference study design defines the methodological approach used to isolate treatment effects, explicitly detailing data requirements, key assumptions, and potential pitfalls to ensure valid empirical testing.

Yes, you can input a dataset description to formulate structured research questions for empirical analysis, generating ordered hypotheses with specific data requirements and related literature references based on the provided variables.

The best way to structure a research ideation report for ranking study designs is using a Markdown format containing an Overview, Research Questions, Ranking, and Next Steps sections, saved directly to your quality reports directory.

Yes, generating research questions automatically includes 2-3 related literature references and potential pitfalls for each query, ensuring you capture key assumptions and data requirements necessary for robust causal inference.