Users report bugs in reviews, Reddit, and support tickets - but they rarely file proper bug reports. Noisely finds these bug reports automatically and helps you prioritize fixes.
Starting at $49/month
Bug Reports
89 identified this month
47 reports across 3 sources
31 reports across 2 sources
12 reports across 2 sources
The Challenge
Only a tiny fraction of users who encounter bugs actually file proper reports. The rest complain in reviews, Reddit, or support tickets.
Users describe bugs in reviews but don't use technical language. "The app keeps crashing" is a bug report in disguise.
The same bug gets reported on Reddit, App Store, Trustpilot, and support. Without aggregation, you underestimate the impact.
Without seeing total user impact, engineering fixes the loudest complainant instead of the most widespread issue.
How It Works
AI identifies bugs in natural language feedback and clusters them by issue to show true impact.
Link app stores, review sites, Reddit, and support tools where users report issues.
Our AI reads feedback and identifies bug reports even when users don't use technical terms.
Similar bugs are clustered together. See that 47 users reported the same Safari login issue.
Features
AI identifies feedback that describes bugs, crashes, errors, or broken functionality.
Similar bug reports are grouped together to show the true scope of each issue.
Bugs are scored by impact, urgency, and user count to help you fix what matters most.
Identify iOS vs Android specific bugs, browser issues, or device-related problems.
Create Linear issues directly from bug clusters with one click.
Get notified in Slack when critical bugs are detected or when volume spikes.
Use Cases
Catch app crashes and bugs from App Store and Play Store reviews before they hurt your rating.
Get real-world bug reports from production that your test suite might miss.
Prioritize bug fixes based on actual user impact, not internal opinions.
Understand the bug tracker from a customer perspective. Know what's hurting users most.
Integrations
Noisely aggregates feedback from review platforms, community forums, app stores, and support tools into one unified dashboard.
Unified Feed
All sources in one view
New mention on r/SaaS
2m ago
New 4-star review
15m ago
Feature request ticket
1h ago
FAQ
Noisely AI analyzes the language and context of feedback to identify descriptions of bugs, crashes, errors, and broken features. Even when users say "it doesn't work" or "keeps crashing", the AI recognizes this as a bug report.
Noisely uses semantic similarity to group bug reports that describe the same underlying issue. If 47 users mention Safari login problems in different words across different platforms, they're clustered together so you see the true impact.
Yes. You can filter feedback by source (App Store vs Play Store) and the AI extracts platform-specific context like device type, OS version, or browser when mentioned.
Noisely calculates priority based on multiple factors: number of users affected, sentiment severity, urgency language used, and recency. Critical bugs affecting many users score highest.
Yes. You can push bug clusters directly to Linear. Each ticket includes the bug description, number of reports, source breakdown, and sample user quotes.
Find and prioritize bugs reported across all your customer touchpoints.
Get StartedStarting at $49/month