Analytics and reporting
Learn how to use Lyyli.ai analytics to track performance, understand user behavior, and optimize your communications strategy.
What you'll learn
- Tracking and understanding key metrics
- Analyzing user behavior patterns
- Creating and sharing reports
- Data-driven strategy optimization
Key metrics overview
Track these critical metrics to evaluate your assistants' performance:
User Satisfaction
Average: 4.2/5.0 (improvement +0.3)
Response Time
Average: 2.3s (improvement -0.8s)
Resolution Accuracy
87% (improvement +5%)
Usage Rate
1,247 conversations/week
Screenshot: Key metrics dashboard
User behavior analysis
Understand how users interact with your assistants and what they're looking for:
Most popular questions
Identify the most common questions and improve their answers
Conversation flow
Analyze conversation structure and identify improvement areas
User segmentation
Group users and target communications more effectively
Screenshot: User behavior analysis
Performance tracking
Track your assistants' performance over time and identify trends:
Time series analysis
Track metrics daily, weekly, and monthly:
- User satisfaction trends
- Response time changes
- Usage rate variations
- Seasonal variations and trends
Comparison and benchmarking
Compare performance across different assistants and time periods:
- Inter-assistant comparison
- Comparison to previous performance
- Target audience-specific metrics
- Competitor comparison (if available)
Screenshot: Performance charts and time series
Creating and sharing reports
Create professional reports and share them with your team:
Automated reports
Set up regular reports (daily, weekly, monthly)
Custom reports
Create reports for specific metrics and time periods
Report export
Export reports in PDF, Excel, or CSV format
Screenshot: Report creation and configuration
Data-driven strategy optimization
Use your analytics data to improve your communications strategy:
A/B testing
Test different response strategies and choose the best ones
Targeted training
Focus training on areas with weakest performance
User experience improvement
Optimize interface based on user feedback
Resource allocation
Allocate resources to most effective assistants
Screenshot: Optimization tools and A/B testing
Best practices
Regular monitoring
Check analytics data at least weekly
Goal setting
Set concrete goals and track progress
Team collaboration
Share reports with your team and discuss results
Continuous improvement
Use data to guide continuous improvements