Analytics Dashboard
The Kaie Analytics Dashboard provides comprehensive insights into your workflow performance, customer engagement, and business metrics. Track key performance indicators, identify optimization opportunities, and make data-driven decisions to improve your customer communication.Key Metrics
Workflow Performance
Monitor how your workflows are performing across all channels.Execution Rate
- Total Executions: Number of workflow runs
- Success Rate: Percentage of successful executions
- Error Rate: Percentage of failed executions
- Average Duration: Time to complete workflows
Response Time
- Average Response Time: Time to first response
- Peak Response Time: Longest response times
- Response Time Trends: Performance over time
- Channel Comparison: Response times by channel
Throughput
- Messages per Hour: Volume of messages processed
- Peak Hours: Busiest times of day
- Capacity Utilization: System usage levels
- Growth Trends: Volume growth over time
Error Analysis
- Error Types: Most common error types
- Error Frequency: How often errors occur
- Error Impact: Impact on customer experience
- Resolution Time: Time to fix errors
Customer Engagement
Track how customers interact with your automated systems.Engagement Metrics
- Active Users: Number of engaged customers
- Session Duration: Average conversation length
- Message Volume: Messages per customer
- Return Rate: Customers who return
Satisfaction Scores
- Customer Ratings: Overall satisfaction scores
- NPS Scores: Net Promoter Score trends
- Feedback Analysis: Sentiment analysis of feedback
- Improvement Areas: Areas needing attention
Channel Performance
- WhatsApp Metrics: Performance on WhatsApp
- Instagram Metrics: Performance on Instagram
- Voice Call Metrics: Voice interaction performance
- Channel Comparison: Cross-channel analysis
Conversion Rates
- Goal Completion: Percentage of goals achieved
- Funnel Analysis: Conversion through workflows
- Drop-off Points: Where customers leave
- Optimization Opportunities: Areas for improvement
Real-time Monitoring
Live Dashboard
Monitor your workflows in real-time with live updates.Live Metrics
Live Metrics
- Active Workflows: Currently running workflows
- Current Load: System load and performance
- Recent Activity: Latest workflow executions
- Alert Status: Current system alerts
Real-time Alerts
Real-time Alerts
- Performance Alerts: When performance drops
- Error Alerts: When errors occur
- Capacity Alerts: When approaching limits
- Custom Alerts: User-defined alert conditions
System Health
Monitor the health and performance of your Kaie system.System Metrics
System Metrics
- CPU Usage: System processing load
- Memory Usage: Memory consumption
- Network Latency: Network performance
- Database Performance: Database response times
Service Status
Service Status
- API Status: External API availability
- Integration Status: Channel integration health
- AI Service Status: AI Brain system health
- Overall Uptime: System availability
Historical Analysis
Trend Analysis
Analyze performance trends over time to identify patterns and opportunities.Time-based Analysis
Time-based Analysis
- Daily Trends: Performance by day of week
- Hourly Trends: Performance by hour of day
- Seasonal Trends: Performance by season
- Growth Trends: Long-term growth patterns
Comparative Analysis
Comparative Analysis
- Period Comparison: Compare different time periods
- Workflow Comparison: Compare different workflows
- Channel Comparison: Compare different channels
- A/B Test Results: Compare different approaches
Performance Reports
Generate detailed reports for stakeholders and analysis.Report Types
Report Types
- Executive Summary: High-level performance overview
- Detailed Analysis: In-depth performance analysis
- Custom Reports: User-defined report formats
- Scheduled Reports: Automated report generation
Report Features
Report Features
- Export Options: PDF, Excel, CSV formats
- Visualization: Charts, graphs, and dashboards
- Filtering: Filter data by various criteria
- Sharing: Share reports with team members
Custom Analytics
Custom Metrics
Create and track custom metrics specific to your business needs.Metric Types
Metric Types
- Business Metrics: Revenue, conversion, retention
- Operational Metrics: Efficiency, productivity, quality
- Customer Metrics: Satisfaction, engagement, loyalty
- Technical Metrics: Performance, reliability, scalability
Configuration
Configuration
- Metric Definition: Define what to measure
- Data Sources: Where to get the data
- Calculation Logic: How to calculate the metric
- Display Options: How to visualize the metric
Custom Dashboards
Build custom dashboards tailored to your specific needs.Dashboard Features
Dashboard Features
- Widget Library: Pre-built dashboard widgets
- Custom Widgets: Create your own widgets
- Layout Options: Flexible dashboard layouts
- Sharing: Share dashboards with team members
Widget Types
Widget Types
- Charts: Line, bar, pie, scatter plots
- Tables: Data tables with sorting and filtering
- KPI Cards: Key performance indicator displays
- Maps: Geographic data visualization
Data Export and Integration
Export Options
Export your analytics data for external analysis and reporting.Export Formats
Export Formats
- CSV: Comma-separated values for spreadsheets
- Excel: Microsoft Excel format with formatting
- JSON: JavaScript Object Notation for APIs
- PDF: Portable Document Format for reports
Export Features
Export Features
- Date Range: Select specific time periods
- Data Filtering: Filter data before export
- Scheduled Exports: Automate regular exports
- API Access: Programmatic data access
Third-party Integration
Integrate with external analytics and business intelligence tools.Supported Integrations
Supported Integrations
- Google Analytics: Web analytics integration
- Tableau: Business intelligence platform
- Power BI: Microsoft business analytics
- Custom APIs: Connect to your own systems
Integration Benefits
Integration Benefits
- Unified View: Combine data from multiple sources
- Advanced Analysis: Use specialized analytics tools
- Custom Reporting: Create custom reports
- Data Synchronization: Keep data in sync
Optimization Insights
Performance Optimization
Get insights and recommendations for improving performance.Optimization Recommendations
Optimization Recommendations
- Workflow Optimization: Improve workflow efficiency
- Response Time: Reduce response times
- Error Reduction: Minimize errors and failures
- Capacity Planning: Plan for future growth
Automated Insights
Automated Insights
- Anomaly Detection: Identify unusual patterns
- Trend Analysis: Spot emerging trends
- Performance Alerts: Get notified of issues
- Optimization Suggestions: Receive improvement recommendations
A/B Testing
Test different approaches and measure their effectiveness.Testing Features
Testing Features
- Experiment Setup: Create A/B tests
- Traffic Splitting: Split traffic between variants
- Statistical Significance: Ensure reliable results
- Winner Selection: Automatically select winning variants
Test Types
Test Types
- Message Testing: Test different message content
- Workflow Testing: Test different workflow paths
- UI Testing: Test different user interfaces
- Timing Testing: Test different timing strategies
Best Practices
Analytics Strategy
Develop an effective analytics strategy for your organization.Strategy Development
Strategy Development
- Define Goals: Set clear analytics objectives
- Choose Metrics: Select relevant key metrics
- Set Baselines: Establish performance baselines
- Create Dashboards: Build effective dashboards
Implementation
Implementation
- Start Simple: Begin with basic metrics
- Iterate Often: Continuously improve analytics
- Train Users: Educate team on using analytics
- Regular Reviews: Schedule regular analytics reviews
Data Quality
Ensure high-quality data for accurate analytics.Data Quality Practices
Data Quality Practices
- Data Validation: Validate data accuracy
- Data Cleaning: Remove or correct bad data
- Data Consistency: Ensure consistent data formats
- Data Completeness: Ensure complete data coverage
Monitoring
Monitoring
- Quality Metrics: Track data quality metrics
- Anomaly Detection: Identify data anomalies
- Regular Audits: Conduct regular data audits
- Continuous Improvement: Improve data quality over time