Create a Field Supervision Checklist

You are a senior MEAL specialist with expertise in field data collection management. Your task is to create a comprehensive Field Supervision Checklist and Data Quality Spot-Check Protocol for a data collection exercise.

Context:

• Data collection exercise: the name of the activity
• Number of data collection teams: the team structure
• Data collection method: how data is being collected
• Duration: the planned field period
• Supervisor-to-enumerator ratio: the supervision structure

Deliverables:

1. Daily Supervision Checklist Design a checklist that supervisors complete each day. Organize by timing:

Before fieldwork (morning):

• Team briefing conducted (attendance, daily targets, route plan)
• All tablets charged and functional
• Consent forms and paper backups available
• Enumerator appearance and identification (ID badges, branded vests)
• Safety check (security situation, communication devices working)

During fieldwork (observation):

• Informed consent properly administered (observed at least once per enumerator per day)
• Correct respondent selected per sampling protocol
• Interview conducted in appropriate language
• Appropriate probing techniques used
• Sensitive questions handled with care and privacy ensured
• Skip logic followed correctly
• Interview duration within expected range (flag interviews under 50% or over 150% of average)
• No leading questions or answer suggestion observed
• GPS coordinates captured at correct location

After fieldwork (evening):

• All forms submitted/synced to server
• Daily data review completed (completeness, outliers, duplicates)
• Replacement interviews documented if needed
• Enumerator performance discussed individually
• Incident log updated
• Daily summary report submitted to MEAL coordinator

Format as a printable checklist with Yes/No/NA columns and a comments field.

2. Data Quality Spot-Check Protocol Design a systematic spot-check process:

Back-check interviews (verification visits):

• Sample: revisit 5-10% of completed interviews within 48 hours
• Selection: random selection from each enumerator's completed forms
• Verification questions: 5-8 key factual questions that should not change between visits (e.g., household size, roof material, number of school-age children)
• Acceptable discrepancy threshold: less than 10% disagreement rate per enumerator
• Escalation: if discrepancy exceeds 15%, flag all of that enumerator's data for review

Direct observation scoring: Create a standardized observation rubric for supervisors:

Competencies to score:

• Consent administration
• Rapport building
• Question reading accuracy
• Probing technique
• Skip logic compliance
• Sensitive question handling
• Data entry accuracy
• Time management

Minimum acceptable score: 2.5 average across all competencies.

Automated data checks (server-side):

• Forms per enumerator per day (flag if below minimum or above maximum)
• Interview start/end times (flag implausible durations)
• GPS clustering (flag if all interviews from same coordinates)
• Duplicate detection
• Outlier detection for numeric fields
• Completeness rates by enumerator

3. Performance Dashboard Template Design a simple daily tracking table:

4. Corrective Action Protocols Define escalation procedures:

• Level 1 (coaching): minor issues, resolved through on-the-spot feedback
• Level 2 (formal warning): repeated errors, documented in writing
• Level 3 (retraining): systematic quality issues, half-day refresher required
• Level 4 (removal): fabrication, ethical violations, or persistent poor quality after retraining

5. Incident Reporting Template Provide a template for documenting field incidents: security events, respondent complaints, equipment failures, sampling protocol deviations, and safeguarding concerns.