Automatic Signal Extraction
How BuildBetter automatically identifies and extracts signals from your conversations and data
What are Signals?
Signals are automatically extracted insights including:
- Customer feedback
- Feature requests
- Bug reports
- Product complaints
- Success stories
- Integration needs
Signal Sources
Call Recordings
Live conversations and meetings
Documents
Uploaded files and notes
External Data
CRM, tickets, surveys
Chat Logs
Support and sales conversations
Extraction Process
Data Ingestion
Process incoming data from various sources
Analysis
Apply AI models for content understanding
Classification
Categorize and label identified signals
Enrichment
Add metadata and context information
Signal Types
Signal Properties
Automatic Properties
- Type classification
- Sentiment analysis
- Priority level
- Source reference
- Timestamp
Enriched Properties
- Customer metadata
- Product context
- Related signals
- Historical data
Signal accuracy depends on data quality and proper source configuration.
AI Processing
NLP Analysis
Natural language understanding
Pattern Recognition
Identify trends and patterns
Configuration Options
Signal Rules
- Detection criteria
- Classification rules
- Priority scoring
- Auto-tagging rules
Source Settings
- Processing frequency
- Confidence thresholds
- Filtering rules
- Enrichment options
Configure signal extraction rules to match your team’s needs and priorities.
Integration Features
Data Sources
- CRM systems
- Help desk platforms
- Survey tools
- Chat platforms
- Email systems
Output Destinations
- Project management
- Product roadmap
- Analytics tools
- Team notifications
Best Practices
Source Setup
Configure and validate data sources
Rule Definition
Create clear extraction rules
Quality Check
Monitor and verify signal accuracy
Refinement
Adjust based on feedback and needs
Signal Quality
Quality Factors
- Source reliability
- Data completeness
- Context clarity
- Processing accuracy
Quality Monitoring
- Accuracy metrics
- False positive rates
- Missing signals
- Classification errors
Regularly review and adjust signal extraction rules to improve accuracy.
Troubleshooting
Automation Options
Scheduled Processing
- Real-time extraction
- Batch processing
- Periodic updates
- Custom schedules
Automated Actions
- Signal routing
- Notification triggers
- Task creation
- Report generation
Signal extraction capabilities are continuously improved through machine learning from user feedback.