Formulating SMART Questions

Explain why formulating precise questions is the essential first step before collecting or analyzing data.

Distinguish between vague and specific research questions using examples such as specifying bust-to-band ratio ranges in bra sizing studies or defining relationship satisfaction metrics in polyamorous arrangements.

Evaluate whether a research question is measurable by identifying the data types and metrics needed, such as cup size measurements or frequency of partner interactions in a one-female-multiple-male relationship.

Assess the achievability of a research question given realistic constraints on data availability, time, and resources, such as sample size limitations in niche bra fitting populations or recruitment challenges in polyamorous relationship studies.

Determine the relevance of a research question to the broader research objective, such as linking underwire curvature data to comfort outcomes or relating communication frequency to satisfaction in polyamorous dynamics.

Critique a poorly formulated research question by identifying which SMART criteria it violates, using examples from bra design or polyamorous relationship contexts.

Reformulate a flawed research question into one that satisfies all five SMART criteria.