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: | Competency | Score 1 (Poor) | Score 2 (Adequate) | Score 3 (Good) | Score 4 (Excellent) | |---|---|---|---|---| 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: | Enumerator | Forms Today | Cumulative | Avg Duration | Completeness % | Spot-Check Score | Issues | |---|---|---|---|---|---|---| **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.