AI Impact Scoring
Feedbackview's AI automatically analyzes every feedback submission to determine its impact on your product and users. This intelligent scoring system helps you prioritize what matters most.
Impact Score Levels
Every feedback item receives a score from 1-5 based on its potential impact on your product and users. Each level has specific characteristics and suggested response times.
Severe issues affecting core functionality or security. These require immediate attention as they likely impact many users or pose significant risks.
Significant problems that impact user experience or productivity. Important features aren't working as expected or users are blocked.
Standard feedback that improves the product but isn't urgent. Users can work around the issue or it's an enhancement request.
Minor issues or questions that don't significantly impact user experience. Often documentation questions or cosmetic concerns.
Very minor suggestions or issues with minimal user impact. Nice-to-have improvements that can be addressed when convenient.
Sentiment Analysis
Available on Pro and Business plans, AI sentiment analysis helps you understand the emotional context of feedback and prioritize based on user satisfaction levels.
Users expressing satisfaction, appreciation, or excitement about your product.
Factual reports, questions, or suggestions without strong emotional context.
Frustration, disappointment, or anger that requires immediate attention.
Using AI Insights
Prioritization Strategy
- ✓Sort by impact score: Address high-impact items first to maximize user satisfaction
- ✓Consider sentiment: Negative sentiment + high impact = urgent priority
- ✓Group by keywords: Similar feedback themes can be addressed together
Team Assignment
- ✓Technical issues: Assign based on root cause analysis to appropriate developers
- ✓UX problems: Route design-related insights to product and design teams
- ✓Support needs: Customer success handles questions and usage guidance
Product Planning
- ✓Feature roadmap: Use AI suggestions to inform development priorities
- ✓Risk assessment: Critical issues help identify stability and security priorities
- ✓User research: Keywords and intent analysis reveal user behavior patterns
Configuration
AI impact scoring runs automatically for all feedback submissions. The system is designed to work out-of-the-box with sensible defaults and reliable fallbacks.