Students and teachers share feedback on app stores, Reddit, review sites, and community forums. Noisely aggregates it all, uses AI to categorize by topic, and helps your team build a better learning experience.
Starting at $49/month
EdTech Feedback Hub
Students + educators, unified
The Challenge
EdTech companies receive feedback from app store reviews, Reddit threads, teacher forums, support tickets, and social media - but rarely have a unified view of what users actually need.
Students and teachers have very different needs and pain points. Separating and understanding both perspectives manually is nearly impossible at scale.
Back-to-school and exam seasons bring massive review surges. Without automation, critical feedback gets buried during the periods when it matters most.
It is hard to tell if a negative review is about the learning content, the app experience, or pricing - yet each requires a different team to fix.
How It Works
Aggregate student and teacher feedback from every platform, categorize with AI, and route insights to the right team.
Add your App Store and Play Store listings, Reddit keywords, review profiles, and support tools. Setup takes under 5 minutes.
Every piece of feedback is analyzed for topic (content, UX, pricing, accessibility, bugs), audience type, sentiment, and urgency.
Push UX issues to your engineering team, content feedback to curriculum designers, and pricing concerns to leadership - all automatically.
Features
Track App Store, Play Store, G2, Trustpilot, and Google Reviews alongside Reddit and community discussions.
AI separates feedback about content quality, app UX, pricing, accessibility, and technical issues automatically.
See sentiment breakdowns for specific features like video lessons, quizzes, grading tools, or the mobile app.
Track how feedback patterns shift during back-to-school, exam periods, and enrollment seasons.
Track what students say about competing platforms to find gaps you can fill and features you need to match.
Send content feedback to your curriculum team, bug reports to engineering, and pricing concerns to leadership via Slack or Linear.
Use Cases
Understand what students and teachers actually need. Prioritize your roadmap with real feedback data from every channel.
Get structured feedback about content quality, course difficulty, and learning outcomes directly from student reviews.
Monitor app store ratings and review sentiment to understand what drives downloads and retention.
Spot systemic issues across support tickets, app reviews, and community posts before they escalate.
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 content of each piece of feedback and can identify whether the reviewer is likely a student, teacher, administrator, or parent based on context clues. You can filter and segment analysis by audience type.
App Store and Play Store reviews are critical for mobile-first EdTech. Reddit (especially r/edtech and r/teachers), G2, Trustpilot, and Google Reviews are also important. Noisely monitors all 18 supported sources.
Noisely processes reviews automatically every day regardless of volume. During high-traffic periods like back-to-school, the AI continues to categorize and cluster feedback so your team sees the most important patterns even when volume surges.
Yes. Noisely AI extracts topics and feature mentions from each review. You can filter your dashboard to see all feedback about a specific feature, course type, or product area.
Noisely identifies the top complaint categories driving low ratings. By addressing the most-mentioned issues (like app crashes, confusing navigation, or missing features), you can systematically improve your rating over time.
Join product teams who use Noisely to understand customers and build better products.
Get StartedStarting at $49/month