Customer Signals
Technical Telemetry
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Customer complaints live in Slack, errors in Sentry, incidents in PagerDuty, and deployments in Vercel. No one connects them. Your team wastes hours investigating across disconnected tools.
Customer feedback, errors, incidents, and deployments flow into one workspace automatically. Every signal type, one intelligent view.
“The mobile login experience is really slow. It takes forever to authenticate, especially on slower connections.”
Mobile login is too slow after update
TypeError spike: auth-service v2.3.1
Payment page not loading for users
Incident: checkout service degraded
Deploy: checkout-v2.4.1 rolled back
A user reports a checkout issue. Your team opens Sentry, checks PagerDuty, reviews the latest deploy in Vercel, and searches Slack—all to answer one question: why? That manual triage doesn't scale.
Feedric automatically explains WHY issues are happening by correlating customer signals with technical events. No more tool-hopping.
The same deployment broke checkout for 30 users, but complaints are scattered across Slack, Zendesk, and email. Without connecting the dots, you can't see the pattern or the root cause.
Feedric clusters related signals across all sources—even if worded differently—and links them to the technical events that triggered them.
AI-detected from correlated signals
AI insight: 3 technical events explain 2 customer complaints
Most tools show you data side by side. Feedric connects the dots automatically. When a customer reports a bug, Feedric already knows about the Sentry spike, the failed deployment, and the active PagerDuty incident.
Feedric links customer complaints to errors, deployments, and incidents in the same time window—so your team diagnoses in seconds, not hours.
Customer signals, deployments, errors, and alerts—all on a single chronological timeline. See exactly what happened and when, across every source.
Watch Feedric correlate signals and surface insights automatically
Click on any signal below to explore the full interface. Try filtering by status, searching, and switching between views to see how Feedric surfaces insights from your product signals.
🐛 Bug: Login button completely unresponsive on iPhone Safari. Tried multiple times, button just doesn't respond to taps. Works fine on Chrome desktop. This is preventing me from accessing my account on mobile. iOS 17.2, Safari 17.2.1
💡 Feature Request: Please add dark mode! I work late nights and the bright white interface is really hard on my eyes. I've seen this requested in the community forum multiple times. Would be amazing for productivity during evening hours.
🚀 Performance: Dashboard takes 15+ seconds to load when I have 500+ signal items. The page just hangs and sometimes times out completely. My team is getting frustrated waiting for it to load every morning. Need pagination or better filtering.
💬 Usability: The search is really confusing. I can't figure out how to filter by date range or priority level. The results just show up in a random order and I have to scroll through everything. My team keeps asking me how to find specific feedback but I don't know either.
💰 Pricing: $99/month is way too expensive for our 5-person startup. We're paying more for this tool than our entire marketing budget. Competitors like UserVoice offer similar features for $29/month. We might have to switch if there's no startup pricing.
Every signal source feeds Feedric's AI analyst
Customer Signals
Technical Telemetry
See how Feedric correlates your product signals in under a minute.
Solo founders exploring product signals
2 signal sources, 50 events/month
Stop investigating manually. Let Feedric explain what's happening.
Everything you need to know about how Feedric correlates your product signals
Feedric is an AI signal intelligence platform that unifies customer feedback, errors, incidents, and technical telemetry to automatically generate insights and explain the root causes behind product issues. It ingests signals from Slack, Sentry, PagerDuty, Vercel, Datadog, and more, then uses AI to correlate events and surface what matters.
Feedric uses semantic analysis and metadata linking to correlate signals across customer and technical sources. When a customer reports an issue, Feedric automatically matches it to related errors, deployments, and incidents in the same time window -- giving your team root-cause context in seconds.
Yes! Feedric supports unlimited Slack channels and workspaces as customer signal sources. You can organize signals by project, team, or product area, and Feedric will correlate each workspace's signals with relevant technical telemetry.
Absolutely. Feedric is SOC 2 compliant with end-to-end encryption, SSO support, and advanced access controls. All signal data is encrypted in transit and at rest.
The free tier includes 2 signal sources (Slack + Email), up to 50 signal events per month, a signal overview dashboard, export to Linear, and 3 months of data retention. It's the fastest way to see how Feedric correlates your product signals.
Feedric connects to your Slack channels and automatically captures messages, threads, and @mentions as customer signals. It then correlates these signals with technical events from Sentry, PagerDuty, Vercel, and Datadog to surface root-cause context automatically.
Feedric ingests customer signals from Slack, with Microsoft Teams, HubSpot CRM, Zendesk, Notion, and GitHub coming soon. For technical telemetry, Feedric connects to Sentry (errors), PagerDuty (incidents), Vercel (deployments), and Datadog (monitoring). All signals flow into a unified intelligence dashboard with real-time correlation.
Feedric uses AI to analyze signal severity, cross-source patterns, and correlated impact. When multiple customers report similar issues and those complaints correlate with a Sentry error spike or a recent deployment, Feedric automatically surfaces and prioritizes the root cause.
Yes! Feedric allows you to export root-cause insights and correlated signal data to Linear. Additional export destinations like Jira, Asana, Trello, ClickUp, and Monday.com are coming soon.
Feedric offers signal trend analysis, root-cause clustering, cross-source correlation reports, and custom analytics. Track signal volume, detect emerging patterns, and see which technical events are driving the most customer impact.
When a customer reports an issue, Feedric automatically searches for technical events in the same time window. If a Sentry error spiked, a Vercel deployment went out, or a PagerDuty incident was triggered, Feedric surfaces that context directly on the signal. This helps teams pinpoint root causes without switching between tools.
Feedric connects to Sentry (error tracking), PagerDuty (incident management), Vercel (deployment tracking), and Datadog (monitoring and alerts). Setup takes under a minute: Feedric generates a unique webhook URL that you paste into your provider's settings. Once configured, technical events flow in automatically and are correlated with customer signals in real time.
