Common pitfalls in self reported measurement
Launch library · evergreen read
Measurement conducted by the same team responsible for the results it is measuring carries an obvious risk of bias, even when no one involved intends to mislead anyone. The temptation to interpret ambiguous data favourably is subtle and rarely conscious, which is precisely what makes it hard to guard against.
Common pitfalls include selecting the most flattering time frame, comparing results against an easy baseline, or emphasising the metrics that improved while quietly omitting the ones that did not. None of these require deliberate dishonesty, only the ordinary human preference for a good story over a complete one.
Guarding against these pitfalls means setting measurement criteria before results arrive, not after, and being willing to report a metric that moved in the wrong direction alongside the ones that moved in the right one. Credibility in self reported measurement depends on that discipline being visible, not just claimed.
None of this is unique to communications measurement, but the discipline matters more here because the same team so often designs, executes and reports on its own work. Building in independent review, even informally, is one of the more effective safeguards against these ordinary but consequential biases.