AI Research Question Generator

A good research question is focused (not too broad), feasible (can be investigated with available methods and resources), relevant (contributes to existing knowledge), and specific (can be clearly answered). It should be open-ended rather than yes/no, complex enough to require analysis, and scoped appropriately for your research project's scale and timeframe.

Descriptive questions survey what exists. Comparative questions examine differences between groups. Correlational questions explore relationships between variables. Causal questions test cause-and-effect. Exploratory questions map unknown territory. Each type implies different methodologies — descriptive might use surveys while causal requires experiments. Choosing the right type shapes your entire research approach.

Start broad during your initial literature review, then narrow as you identify gaps. A question that's too broad leads to unfocused research, while one that's too narrow may not yield enough material. Our generator produces questions scoped to your research level — undergraduate questions are naturally more focused, while doctoral questions tackle broader, more complex issues.

Most papers have one primary research question supported by two to four sub-questions. The primary question captures your main inquiry, while sub-questions break it into manageable components. For a master's thesis, three to five total questions is typical. Doctoral work may have a central question with more extensive sub-questions. Quality matters more than quantity.

Absolutely — and you should. Generated questions are starting points informed by your topic and discipline. Refine them based on your literature review findings, available data sources, methodological preferences, and advisor feedback. The best research questions evolve through iterative refinement as your understanding of the field deepens through reading and preliminary analysis.