Turn support tickets into product intelligence
Your support team talks to customers every day. Buried in those tickets are bug reports, feature requests, UX complaints, and churn signals that rarely reach product teams in a structured way. Noisely imports tickets from Zendesk, Freshdesk, and Intercom, then uses AI to extract, categorize, and quantify the product feedback hidden in support conversations. No more "support says users want X" without data to back it up.
- Import tickets from Zendesk, Freshdesk, Intercom
- AI extracts bugs, features, and pain points
- See patterns across thousands of tickets
- Surface product issues buried in support
Starting at $49/month
Support Analysis
From 2,847 tickets
Login issues, API errors, sync failures
API access, bulk export, custom reports
Onboarding, pricing, feature discovery
Support Analysis: What You Need to Know
- Import tickets from Zendesk, Freshdesk, Intercom
- AI extracts bugs, features, and pain points
- See patterns across thousands of tickets
- Surface product issues buried in support
- Pricing: Noisely starts at $49/month with all features included.
The Challenge
Product feedback is trapped in support
Support agents hear the same issues repeatedly, but this signal rarely reaches product teams in a structured way.
Lost in tickets
Feature requests and bug reports hide in ticket text. No one reads thousands of tickets for patterns.
Anecdotal escalation
Support says "users want X" but can't quantify it. Product teams need data, not anecdotes.
Delayed feedback loop
By the time support patterns reach product, months have passed. Users waited and churned.
How It Works
How Noisely analyzes support tickets
Connect your support platform and let AI extract the product analysis.
Connect Your Platform
Link Zendesk, Freshdesk, or Intercom via OAuth. We import ticket content securely.
AI Extracts Analysis
Every ticket is analyzed for bugs, features, confusion, and other product-relevant feedback.
See Patterns
Similar issues cluster together. Know that 312 tickets mentioned login problems.
Features
Everything for support analysis
Multi-Platform
Connect Zendesk, Freshdesk, Intercom, and more. All your support in one view.
Feedback Extraction
AI identifies product feedback in tickets - bugs, features, UX issues, and confusion.
Issue Clustering
Similar issues group together. See that "login problem" was mentioned 312 times.
Customer Link
Feedback links to customers when available, so CS can follow up.
Push to Product
Send support analysis to Linear or Slack so product sees what support sees.
Daily Sync
New tickets are analyzed automatically every day. Always up to date.
Use Cases
Who uses support analysis?
Product Managers
See what support sees. Get product feedback from thousands of tickets without reading them.
Support Managers
Quantify patterns to escalate to product. "312 tickets about login issues" is more compelling.
Engineering Teams
Get bug reports from support with volume data. Prioritize fixes by real impact.
Customer Success
Track feedback by customer to identify at-risk accounts and opportunities.
Integrations
Collect feedback from 22+ sources
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
Frequently Asked Questions
Noisely integrates with Zendesk, Freshdesk, Intercom, and Canny. All connections use OAuth for secure authentication. Tickets are imported and analyzed automatically every day.
Support ticket analytics goes beyond measuring response times and resolution rates. Noisely analyzes the content of your tickets to extract product intelligence: what bugs customers report, what features they request, what UX issues frustrate them, and what patterns emerge across hundreds or thousands of conversations.
Noisely AI reads ticket content and full conversation threads, then identifies feedback relevant to product: bug reports, feature requests, UX confusion, complaints, and praise. It categorizes each ticket into 12 types, scores urgency and impact, and filters out routine support questions that have no product signal.
Noisely imports ticket content and conversation text for analysis. We do not access attachments, internal notes, or other sensitive data. Your credentials are never stored.
Yes. That is the core value. Noisely combines support tickets with feedback from Reddit, app store reviews, G2, Trustpilot, Google Reviews, and 15+ other sources. See if the bugs reported in support tickets are also mentioned in app reviews or Reddit discussions.
Yes. Noisely pushes analyzed feedback to Slack, Microsoft Teams, Linear, Jira, Asana, Notion, Google Sheets, Email, Discord, and webhooks. Get alerted about critical bugs or push feature requests directly to your development workflow.
Yes. When available in the source platform, feedback is linked to customer identifiers. This helps CS follow up with affected customers and helps you understand who is impacted by specific issues.
Noisely syncs support platforms daily. New tickets and conversations are imported and analyzed within 24 hours. Every new ticket is automatically processed by AI.
Start extracting analysis from support
Turn thousands of support tickets into actionable product feedback.
Get StartedStarting at $49/month