snsr.io is an AI-powered feedback analytics platform designed for product teams to identify, prioritize, and act on critical issues across multiple customer channels. It automates data collection from sources like Zendesk and Intercom, provides real-time alerts for emerging problems, groups related feedback into actionable clusters, and surfaces high-impact issues to guide product decisions. The tool aims to help teams proactively detect patterns, trends, and opportunities that might otherwise be missed, enabling faster response and improved user satisfaction.
How Snsr.io Works
- Data Collection: Aggregates feedback from diverse channels (e.g., Zendesk, Intercom) and smartly categorizes incoming signals for easier analysis.
- Real-time Alerts: Monitors for sudden spikes and issue status changes, sending notifications to the right teams when important changes occur.
- Pattern Analysis: Clusters related issues into actionable groups, surfaces frequently reported problems, and tracks trend velocity and impact.
- Priority Insights: Identifies high-impact issues worth fixing, showing momentum and user impact so teams can prioritize effectively.
Use Cases
- Early detection of critical product issues across channels
- Prioritization of bug fixes and usability problems based on user impact
- Trend analysis to uncover emerging themes and opportunities
- Collaboration between support, product, and engineering teams via shared insights
Safety and Legal Considerations
- Ensure data handling complies with privacy regulations and organizational policies for customer feedback data.
Core Features
- Data Collection from multiple feedback channels (e.g., Zendesk, Intercom)
- Smart categorization and normalization of signals
- Real-time alerts for spikes and status changes
- Pattern analysis with clustering of related issues
- Surface of high-impact, momentum-driven issues
- Trend velocity and impact metrics for prioritization
- Early access and exclusive offers via waitlist