Transforms multi-channel user feedback and support data into prioritized, actionable product roadmaps.
Feedback Synthesizer acts as an intelligent bridge between qualitative user sentiment and quantitative product strategy. It aggregates data from diverse sources—including App Store reviews, Supabase support tables, Stripe churn signals, and user interviews—to identify high-impact patterns and categorize them using frameworks like Kano Classification. By cross-referencing sentiment with actual churn risk and behavioral data, it helps product managers and developers cut through the noise to prioritize the fixes and features that drive the highest retention and user satisfaction.
主な機能
01Churn signal detection correlating negative feedback with cancellation data
02Actionable product briefs with effort estimates and RICE-ready metrics
03Kano Model categorization (Must-Have, Performance, Delighters)
040 GitHub stars
05Thematic analysis with frequency and frustration intensity scoring
06Multi-source ingestion from Supabase, App Store, Stripe, and Slack
ユースケース
01Identifying the root cause of user churn by linking support tickets to Stripe data
02Prioritizing development sprints based on recent App Store review trends
03Summarizing qualitative user interview transcripts into ranked feature requests
