snsr.io
Detect critical product issues across multiple channels
Target Audience
- Product managers
- Customer support teams
- SaaS product teams
Hashtags
Overview
This AI tool automatically aggregates customer feedback from platforms like Zendesk and Intercom to find hidden patterns. It alerts teams about emerging issues in real-time and helps prioritize which problems to fix first, saving product teams countless hours of manual analysis.
Key Features
Data Aggregation
Collects feedback from multiple support channels automatically
Real-time Alerts
Get instant notifications about emerging critical issues
Pattern Clustering
Groups related complaints into actionable categories
Trend Tracking
Monitors velocity and impact of recurring problems
Use Cases
Monitor multi-channel customer feedback
Get alerts about emerging product issues
Identify recurring complaint patterns
Prioritize high-impact fixes
Pros & Cons
Pros
- Centralizes fragmented customer feedback
- Detects issues before they escalate
- Creates actionable problem clusters
- Focuses teams on high-impact fixes
Cons
- Requires existing feedback channels setup
- Early access waitlist limits availability
Frequently Asked Questions
How does snsr.io analyze feedback?
Uses AI to categorize feedback, detect patterns across channels, and alert about emerging issues
Is there a free version available?
Currently only available through early access waitlist
Which platforms does it integrate with?
Works with Zendesk, Intercom, and other feedback channels
Integrations
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