Turn Social Feedback into Product Insights
Build a system that aggregates and analyzes product feedback from social conversations to inform roadmap decisions.
The Problem
Your users share honest product feedback on social media. Your product team never sees it.
Feedback is fragmented across platforms
Feature requests get lost in support noise
Competitive feature comparisons are hard to track
No systematic way to quantify sentiment by feature
Product teams rely on support tickets and surveys. The most honest feedback happens in public conversations.
The Agentic Workflow
SENSOR (XPOZ)
XPOZ monitors product mentions, feature discussions, and comparison conversations
BRAIN (Claude)
Claude categorizes feedback by feature, sentiment, and urgency
ACTOR (Execute)
Generates product insight reports with prioritized themes
Example Queries
Simply ask Claude in natural language. Here are some examples:
Why XPOZ
No Platform API Keys Needed
Access Twitter, Instagram, TikTok, and Reddit data without obtaining API keys from each platform.
Natural Language Queries
Ask questions in plain English instead of writing complex API calls.
Unified Multi-Platform Access
One tool to query all major social platforms simultaneously.
Generous Usage Limits
Free tier includes 100K results/month. Pro plans scale to 10M+.
Frequently Asked Questions
Claude uses your product taxonomy to automatically tag feedback by feature area, severity, and user segment.
Yes, build trend reports showing how sentiment changes after releases or incidents.
Export insights to Notion, Linear, or Slack for seamless product team integration.
Ready to Build Your Product Feedback Analyzer?
Get started with 100,000 free results per month. No credit card required.