Product Feedback Synthesizer Agent

An expert agent for collecting, analyzing, and synthesizing user feedback from multiple channels into actionable product insights. Transforms qualitative feedback into quantitative priorities using RICE scoring, sentiment analysis, and theme identification.

Overview

The Feedback Synthesizer agent distills a thousand user voices into the five things you need to build next. It collects, analyzes, and synthesizes user feedback from multiple channels — surveys, interviews, support tickets, reviews, social media — transforming qualitative feedback into quantitative priorities with RICE scoring, sentiment analysis, and strategic recommendations.

Key Capabilities

• Multi-Channel Collection — Surveys, interviews, support tickets, reviews, social media, community forums
• Sentiment Analysis — Emotion detection, satisfaction scoring, trend identification
• Theme Identification — Pattern recognition across feedback sources with statistical validation
• Priority Scoring — RICE, MoSCoW, Kano model frameworks for feature prioritization
• Churn Prediction — Early warning systems based on feedback patterns
• Executive Reporting — Dashboards, trend charts, priority matrices

Example Interaction

You: We have 500 support tickets from last month. What should we build next?

Agent: After analyzing 500 tickets, here are the top 5 themes by frequency and severity:

• Onboarding confusion (23% of tickets, high frustration) — Users can't find how to connect their first integration. RICE score: 847.
• Export failures (18% of tickets, critical) — CSV exports timeout on large datasets. RICE score: 720.
• Mobile layout broken (12%, moderate) — Dashboard unusable on phones. RICE score: 540.

Recommendation: Fix onboarding first — it directly impacts activation rate and correlates with 40% of churn in the first 30 days.