Inter-rater reliability is a methodological standard in qualitative research that assesses how consistently multiple coders or analysts interpret and categorize the same data. When two researchers independently review interview transcripts, video recordings, or open-ended responses and reach similar conclusions, inter-rater reliability is considered high. Common measures include Cohen's kappa and percentage agreement scores. In qualitative research, achieving strong inter-rater reliability signals that the coding framework is well-defined and that findings are grounded in the data rather than shaped by individual interpretation. For enterprise insights teams, it is a critical quality control mechanism that strengthens stakeholder confidence in research outputs and supports defensible, decision-ready findings.