flw-data-review

Analyze FLW submission data by querying scout-data MCP to assess completion patterns and data quality issues. The process identifies quality trends and generates actionable recommendations for LLOs and admin teams.

An FLW data review report is a standardized document compiling submission rates, data quality issues, and OCS transcripts to highlight improvement opportunities. It applies findings across ACE opportunities to generate actionable recommendations.

Generate data quality recommendations by utilizing OCS transcripts alongside FLW data and scout-data MCP queries. An LLM-based judge self-evaluates the findings to ensure recommendations are grounded in data and actionability.

Yes, you can automate recurring FLW data analysis during an active opportunity. The process runs automatically to read opportunity context from Google Drive and write formal data reviews to ACE opportunity directories.

Notify admin teams with a concise summary of findings and recommendations generated from the FLW data review. The summary is derived from the standardized data-review report written to the ACE opportunity directory.

Yes, the FLW data review reads opportunity context from Google Drive and references PDD archetypes to determine the evaluation scope. This setup ensures the data quality assessment targets the correct submission parameters.