Digital tools do not automatically create quality data
KoboToolbox can reduce many errors associated with paper forms, but quality depends on design. Poor question wording, weak skip logic and unclear response options can still produce unreliable data. The technology must therefore be supported by strong survey design and field protocols.
Build quality into the XLSForm
A good XLSForm includes relevant constraints, required fields, skip logic, calculations, hints and response choices that match the analysis plan. It should also capture metadata that helps supervisors review fieldwork progress and identify unusual patterns.
Pilot on real devices
Testing should happen on the same types of phones or tablets that enumerators will use. The pilot should check translation, timing, skip logic, response options, GPS capture, consent flow and export structure.
Review data every day
Daily review is essential. Supervisors should check missing values, interview duration, duplicate submissions, inconsistent answers, GPS location, enumerator performance and outlier responses while field teams can still correct procedures.
Document the final dataset
After data collection, the cleaned dataset should be accompanied by a codebook, cleaning log and explanation of indicator calculations. This strengthens transparency and makes the dataset easier to use in future analysis.