framing-research-questions

To turn vague research interests into falsifiable hypotheses, you need a structured framing process that defines context, generates 2-3 framings, and specifies explicit hypotheses with data requirements and decision rules before analysis begins.

Pre-registration in research is committing to a formal question document with hypotheses, data needs, and success criteria before data analysis. You need it to ensure falsifiable framing and prevent hypothesis drift in experiments, literature surveys, or data-integration tasks.

Write a formal research question document by outlining context, comparing 2-3 framings, specifying hypotheses, data needs, and success criteria, then saving it as a markdown file under your questions directory and submitting it for a partner-review gate.

Structured framing applies to literature surveys and data-integration tasks across sciences. It guides you from context understanding to framing and hypothesis specification, ensuring your investigation has explicit data requirements and decision rules regardless of the research type.

The best way to compare research framings is generating 2-3 distinct options, evaluating their hypotheses, data needs, and success criteria side by side, then selecting the strongest framing to commit to a pre-registration document before proceeding to data analysis.

A partner-review gate ensures your framed research questions, hypotheses, and success criteria are precise and falsifiable before analysis begins. It prevents vague framings from proceeding and commits you to a documented question document for research integrity.