field-data-quality-hfc

name	field-data-quality-hfc
description	High-frequency field data quality skill for World Bank survey and operations workflows. Use when reviewing Lumora follow-up surveys, survey logs, payment records, back-checks, field visits, enumerator effects, completeness, distribution, consistency, or operational follow-up priorities.
workflow_stage	field-operations
version	1.0.0
tags	["hfc","fieldwork","survey-quality","backchecks","payments"]

Field Data Quality HFC

Use this skill to produce actionable field follow-up outputs. It is based on the local Lecture Slides - Data quality assurance.pdf.

Checks To Run

Completeness

• Verify unique, non-missing IDs.
• Compare follow-up responses against baseline households.
• Check coverage across district, village, time, and enumerator.

Distribution

• Flag implausible values and unexpected missingness.
• Review survey duration, GPS accuracy, module-missing counts, and high "don't know" counts.

Consistency

• Compare self-reported transfer receipt with payment records.
• Compare district fields across household, payment, and field visit files.
• Compare back-check responses with original survey values.

Survey-specific

• Rank enumerators by short duration, refusals, module missingness, and quality flags.
• Identify early signs of repeated misunderstanding before they become habits.

Field validation

• Use back-checks and field visits to prioritize cases.
• Treat unresolved high-severity visits as urgent.
• Classify each priority issue as a data-entry issue, implementation bottleneck, or human-review case.

Output Requirements

Produce:

• outputs/qa_reports/hfc_summary.md;
• outputs/tables/field_followup_list.csv;
• ranked enumerator, district, or provider tables;
• concise field actions for the next payment cycle.

The follow-up list should include enough information for field teams to act, but it should not imply misconduct from a data flag alone. Separate actions that can be checked in survey/admin records from actions that require supervisor, provider, or field-team review.

Use:

• references/hfc-checklist.md for the full DQA checklist.
• examples/hfc-review-prompt.md for a realistic participant prompt.