Skip to main content

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.
  • Active Workflows: Currently running workflows
  • Current Load: System load and performance
  • Recent Activity: Latest workflow executions
  • Alert Status: Current system 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.
  • CPU Usage: System processing load
  • Memory Usage: Memory consumption
  • Network Latency: Network performance
  • Database Performance: Database response times
  • 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.
  • 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
  • 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.
  • Executive Summary: High-level performance overview
  • Detailed Analysis: In-depth performance analysis
  • Custom Reports: User-defined report formats
  • Scheduled Reports: Automated report generation
  • 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.
  • Business Metrics: Revenue, conversion, retention
  • Operational Metrics: Efficiency, productivity, quality
  • Customer Metrics: Satisfaction, engagement, loyalty
  • Technical Metrics: Performance, reliability, scalability
  • 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.
  • Widget Library: Pre-built dashboard widgets
  • Custom Widgets: Create your own widgets
  • Layout Options: Flexible dashboard layouts
  • Sharing: Share dashboards with team members
  • 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.
  • CSV: Comma-separated values for spreadsheets
  • Excel: Microsoft Excel format with formatting
  • JSON: JavaScript Object Notation for APIs
  • PDF: Portable Document Format for reports
  • 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.
  • Google Analytics: Web analytics integration
  • Tableau: Business intelligence platform
  • Power BI: Microsoft business analytics
  • Custom APIs: Connect to your own systems
  • 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.
  • Workflow Optimization: Improve workflow efficiency
  • Response Time: Reduce response times
  • Error Reduction: Minimize errors and failures
  • Capacity Planning: Plan for future growth
  • 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.
  • Experiment Setup: Create A/B tests
  • Traffic Splitting: Split traffic between variants
  • Statistical Significance: Ensure reliable results
  • Winner Selection: Automatically select winning variants
  • 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.
  • Define Goals: Set clear analytics objectives
  • Choose Metrics: Select relevant key metrics
  • Set Baselines: Establish performance baselines
  • Create Dashboards: Build effective dashboards
  • 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 Validation: Validate data accuracy
  • Data Cleaning: Remove or correct bad data
  • Data Consistency: Ensure consistent data formats
  • Data Completeness: Ensure complete data coverage
  • Quality Metrics: Track data quality metrics
  • Anomaly Detection: Identify data anomalies
  • Regular Audits: Conduct regular data audits
  • Continuous Improvement: Improve data quality over time

Next Steps

Explore more analytics features: