Random sampling is a foundational principle in research operations, ensuring that participant selection is free from systematic bias by giving each eligible individual an equal probability of inclusion. In qualitative research, true random sampling is rarely achievable at scale, but the principle informs how researchers design screeners, recruit from panels, and evaluate whether their sample is representative of the population they care about. When random sampling is applied rigorously, findings carry more weight with stakeholders because the selection process itself is defensible. For enterprise research teams running studies across multiple markets or segments, sampling discipline is what separates credible insight from anecdote.