Common CRF Design Errors

Many data quality problems originate during CRF design rather than during data entry or analysis. When forms are unclear, incomplete, inconsistent, or poorly aligned with the protocol, downstream teams spend significant time resolving issues that could have been prevented. Understanding common CRF design errors helps data managers build stronger systems from the beginning.