Analyzes and structures raw research data, such as surveys and interviews, into actionable insights stored directly in Supabase.
This skill streamlines the process of converting raw qualitative and quantitative research data into structured database records. By leveraging a specialized sub-agent architecture, it analyzes interview transcripts, form responses, and survey results to extract key insights, mapping them to the enquete_summary table in Supabase. It ensures data integrity by checking for existing entries and requiring explicit user confirmation before saving, making it an essential tool for UX researchers and product managers looking to build a searchable knowledge base of user feedback without manual data entry.
주요 기능
01Granular data mapping using a '1 Insight = 1 Record' architecture
020 GitHub stars
03Context-efficient sub-agent processing for complex data analysis
04Strict safety protocols requiring user confirmation before any database write
05Native Supabase integration for direct database storage
06Automated analysis of raw survey and interview data into structured summaries
사용 사례
01Converting bulk Google Form responses into a structured insight repository
02Organizing disparate product feedback into a unified research summary table
03Extracting and saving key takeaways from user interview transcripts to a database
