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