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flw-data-review

Analyze frontline worker submission data and generate structured review reports.

1|2|Updated Apr 1, 2026
Search Tags:#data-quality#commcare#flw-data-review#connect-opportunities#frontline-worker#submission-analysis#ocs-transcripts
One-click install
npx skills add https://github.com/dimagi-internal/ace --skill flw-data-review-dimagi-internal
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: flw-data-review
Source: https://github.com/dimagi-internal/ace/tree/main/skills/flw-data-review
Command: npx skills add https://github.com/dimagi-internal/ace --skill flw-data-review-dimagi-internal

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Teams running active Connect opportunities often spend hours manually auditing frontline worker (FLW) submission data to catch quality issues, track performance trends, and identify actionable improvements to share with local lead organizations (LLOs). This Skill automates that end-to-end workflow, eliminating repetitive manual work and ensuring consistent, data-backed insights are delivered on schedule.

Core Features & Use Cases

  • Archetype-Adaptive Reviews: Automatically adjusts its analysis approach based on the opportunity's PDD archetype: runs quantitative checks (submission rates, completion dropouts, outlier value detection, compliance violations) for atomic-visit opportunities, and qualitative synthesis (session quality scoring, cross-session theme mapping, saturation checks) for focus-group opportunities.
  • Cross-System Data Correlation: Links CommCare form submission data with Open Chat Studio (OCS) session transcripts to connect what LLOs discuss in sessions to actual submission patterns, for more grounded, contextual insights.
  • Automated Reporting & Notifications: Generates structured, dated data review reports saved to the opportunity's ACE folder, and sends summary notifications to the admin team with clear, actionable recommendations for LLO coaching and program adjustments.
  • Use Case: For an active Connect opportunity focused on maternal health outreach, use this Skill to automatically flag FLWs with below-average form completion rates, identify common missing fields across submissions, and compile a review report with specific coaching recommendations for the LLO team.

Quick Start

Use the flw-data-review skill to analyze the latest frontline worker submission data for the active Connect opportunity and generate a structured data review report with improvement recommendations for the local lead organization team.

Frequently Asked Questions about flw-data-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate frontline worker submission data review in CommCare?▼

You can automate frontline worker submission data review by analyzing CommCare form data to identify quality issues, usage trends, and compliance violations, then generating structured reports with actionable improvement recommendations.

What is the difference between quantitative and qualitative data analysis for Connect opportunities?▼

Quantitative data analysis tracks submission rates and outliers for atomic-visit opportunities, while qualitative data analysis evaluates session content quality and research saturation for focus-group archetype opportunities.

Can I cross-reference Open Chat Studio transcripts with CommCare submission data?▼

Yes, you can cross-reference Open Chat Studio transcripts with CommCare submission data to connect session discussion topics with actual form submission patterns for more grounded, contextual insights.

How do I flag frontline workers with low form completion rates for coaching?▼

Flag frontline workers with low form completion rates by running automated quantitative checks on submission data to detect completion dropouts and generate admin notifications with specific coaching recommendations.

Does this data quality review tool work for focus-group archetype opportunities?▼

Yes, the data quality review tool adapts to focus-group archetype opportunities by performing qualitative synthesis, scoring session content quality, mapping cross-session themes, and checking research saturation.

How are data review reports and admin notifications delivered after analysis?▼

Data review reports are saved as structured, dated files to the opportunity's ACE folder, and summary notifications with actionable recommendations are sent directly to the admin team.

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