Core Use Case

Track product feedback from everywhere in one place

Your customers talk about your product everywhere - Reddit, reviews, support tickets, app stores. Noisely collects all that feedback automatically and uses AI to help you understand what matters.

  • Collect feedback from 23+ sources automatically
  • AI categorizes feedback as bugs, features, praise, and more
  • Push analysis to Linear, Slack, or Notion with one click
  • Never miss what customers are saying about your product

Starting at $49/month

Product Feedback Tracking: What You Need to Know

  • Collect feedback from 23+ sources automatically
  • AI categorizes feedback as bugs, features, praise, and more
  • Push analysis to Linear, Slack, or Notion with one click
  • Never miss what customers are saying about your product
  • Pricing: Noisely starts at $49/month with all features included.

The Challenge

Feedback is everywhere, analysis is nowhere

Product teams waste hours manually checking multiple platforms, copy-pasting feedback into spreadsheets, and trying to spot patterns.

Scattered feedback

Customers leave feedback on Reddit, app stores, review sites, support tickets - but you only check some of them.

Manual categorization

Reading every review and deciding if it's a bug, feature request, or complaint is time-consuming and inconsistent.

No single source of truth

Product decisions are made with incomplete data because feedback lives in different tools owned by different teams.

How It Works

How Noisely centralizes your feedback

Collect feedback from everywhere, analyze it with AI, and act on analysis - all in one platform.

1

Connect Your Sources

Add your review profiles, Reddit keywords, support tools, and app store apps. Takes 5 minutes to set up.

2

AI Analyzes Everything

Every piece of feedback is analyzed by AI to identify category, sentiment, urgency, and key topics.

3

Push to Your Tools

Send prioritized analysis to Linear, Slack, Notion, or Google Sheets. Turn feedback into roadmap items.

Features

Everything you need to track feedback

Multi-Source Collection

Connect Reddit, Trustpilot, G2, App Store, Play Store, Zendesk, Intercom, and more.

AI Categorization

Automatically tag feedback as bugs, feature requests, UX issues, pricing concerns, or praise.

Sentiment Analysis

Understand the emotional tone of each piece of feedback - positive, negative, or neutral.

Pattern Detection

AI clusters similar feedback to reveal trends. See that 47 users reported the same issue.

Push Integrations

Send analysis to Linear, Slack, Google Sheets, Notion, or Trello with one click.

Daily Sync

New feedback flows in automatically every day. No manual work required.

Use Cases

Built for product teams

Product Managers

Make roadmap decisions backed by real customer data. Know exactly what users want and why.

Startup Founders

Stay connected to customers as you scale. Catch issues early before they become PR problems.

Engineering Managers

Prioritize bugs based on real impact. See how many users report each issue across all channels.

Customer Success Teams

Understand what customers say behind closed doors. Proactively address concerns.

Integrations

Collect feedback from 22+ sources

Noisely aggregates feedback from review platforms, community forums, app stores, and support tools into one unified dashboard.

Reddit Reddit
Trustpilot Trustpilot
G2 G2
App Store App Store
Play Store Play Store
Hacker News Hacker News
Zendesk Zendesk
Intercom Intercom
+14 more

FAQ

Frequently Asked Questions

Noisely integrates with 23+ sources including Reddit, Hacker News, Quora, Trustpilot, G2, Google Reviews, App Store, Play Store, Zendesk, Freshdesk, Intercom, Canny, and CSV import. We continuously add new integrations.

Noisely uses AI to analyze each piece of feedback and categorize it into types like bug reports, feature requests, UX issues, performance complaints, pricing concerns, praise, competitor comparisons, and more. The AI also extracts key topics and assigns sentiment scores.

Noisely syncs all connected sources daily. New reviews, posts, and tickets that appear on your connected platforms will be imported and analyzed within 24 hours.

Yes. You can export all your feedback to CSV at any time. You can also push specific analysis to Linear, Slack, Google Sheets, Notion, or Trello for workflow integration.

Noisely AI uses embedding-based clustering to group similar feedback together. If 47 users report the same login issue across Reddit, app reviews, and support tickets, Noisely will surface this as a cluster so you can see the total impact.

Yes. Noisely uses OAuth where available for secure authentication. All API credentials are encrypted at rest. We only access the data needed for feedback analysis and never store passwords.

Start tracking product feedback today

Join product teams who use Noisely to understand customers and build better products.

Get Started

Starting at $49/month