BlogData & AI
Monitoring field data collection quality in real time
By Micah Ondiwa, Senior Software Engineer 1 min read
Daily checks on completeness, timing, location and consistency catch problems while teams are still in the field.
Problems found after fieldwork ends are expensive to fix. Monitoring data as it arrives lets supervisors correct issues the same day.
What to check
- **Completeness:** missing answers and skipped sections.
- **Timing:** interviews that are implausibly short.
- **Location:** submissions outside the assigned area, where location is collected with consent.
- **Consistency:** answers that contradict each other.
- **Duplicates:** the same respondent recorded twice.
Build a monitoring dashboard
Show progress against targets and quality indicators by enumerator and area, updated daily.
Act quickly
Supervisors follow up with field teams on flagged submissions and arrange revisits where needed.
Give feedback
Share quality results with enumerators to improve their work.
See our data collection services.
About the author
Micah Ondiwa
Senior Software Engineer
Micah Ondiwa writes about software engineering — application architecture, APIs and integration, data and AI-assisted development, and reliable delivery.
