FeedbackQ
Automate customer feedback analysis to prioritize product improvements
Target Audience
- Product Managers
- Product Teams
- SaaS Companies
- App Developers
Hashtags
Overview
FeedbackQ helps product managers cut through overwhelming customer feedback using AI. It automatically organizes requests, bug reports, and reviews from multiple sources into actionable insights. Saves hours by identifying urgent issues and connecting feedback to your existing documents in tools like JIRA and Google Drive. Enables data-driven decisions while letting teams focus on building better products instead of manual data sorting.
Key Features
Auto Feedback
Collects reviews automatically from app stores & G2
Theme Detection
Identifies common feature requests and bugs automatically
Document Matching
Links feedback to relevant JIRA tickets/Google Docs
Custom Rules
Tailor analysis to your specific business needs
Sentiment Analysis
Tracks customer satisfaction scores and toxicity levels
Use Cases
Analyze customer sentiment trends
Prioritize bug fixes and feature requests
Track NPS/CSAT scores in real-time
Collaborate on product roadmaps
Pros & Cons
Pros
- Automates 90% of manual feedback analysis
- Integrates with popular PM tools like JIRA/Confluence
- Provides actionable insights with custom rules
- Reduces feedback processing time by 91%
Cons
- Currently in beta phase (may have limited features)
- Requires connecting third-party platforms for full benefit
Frequently Asked Questions
How does FeedbackQ integrate with other tools?
Connects to Google Drive, JIRA, Confluence, and app stores for automatic data sync
Can I customize the analysis rules?
Yes, create custom rules for sentiment analysis and theme categorization
How does prioritization work?
Uses predictive analytics based on customer sentiment and strategic impact
Integrations
Reviews for FeedbackQ
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