Triangulation is a core principle in qualitative research methodology, referring to the deliberate use of multiple sources of evidence to cross-check and strengthen findings. Rather than relying on a single method, a single analyst, or a single data type, triangulation asks researchers to look for convergence across different angles before drawing conclusions. In qualitative research, this might mean combining depth interviews with observational data, layering speech analysis with facial cue data, or having multiple researchers independently code the same transcripts. When findings hold across these different lenses, confidence in their validity increases substantially. Triangulation is particularly valuable in enterprise research, where decisions carry significant commercial weight and a single flawed data source can mislead strategy.