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Workflow Performance Metrics

Track and analyze the performance of your individual workflows to identify optimization opportunities and ensure optimal customer experience.

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Execution Metrics

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Workflow Execution Statistics

Monitor how often and how successfully your workflows run.

Execution Volume

  • Total Executions: Number of times workflow has run
  • Daily Executions: Average executions per day
  • Peak Executions: Highest number of executions in a period
  • Execution Trends: Growth or decline in execution volume

Success Rate

  • Overall Success Rate: Percentage of successful executions
  • Success by Channel: Success rate by communication channel
  • Success by Time: Success rate by time of day
  • Success Trends: Success rate changes over time

Error Analysis

  • Error Count: Total number of errors
  • Error Rate: Percentage of failed executions
  • Error Types: Most common error types
  • Error Trends: Error rate changes over time

Execution Time

  • Average Duration: Average time to complete workflow
  • Median Duration: Middle value of execution times
  • 95th Percentile: Duration for 95% of executions
  • Duration Trends: How execution time changes over time

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Node Performance

Analyze the performance of individual nodes within your workflows.
  • Node Success Rate: Percentage of successful node executions
  • Node Execution Time: Average time for each node to complete
  • Node Error Rate: Percentage of node execution failures
  • Node Utilization: How often each node is used
  • Slowest Nodes: Identify nodes that take the longest
  • Error-prone Nodes: Find nodes with high error rates
  • Underutilized Nodes: Identify rarely used nodes
  • Optimization Opportunities: Suggest improvements

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Customer Interaction Metrics

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Engagement Metrics

Measure how customers interact with your workflows.

Interaction Volume

  • Messages Sent: Total messages sent to customers
  • Messages Received: Total messages received from customers
  • Interaction Rate: Ratio of customer responses to messages
  • Conversation Length: Average number of messages per conversation

Response Time

  • First Response Time: Time to first AI response
  • Average Response Time: Average time between messages
  • Response Time by Channel: Response times across different channels
  • Response Time Trends: How response times change over time

Completion Rate

  • Workflow Completion: Percentage of workflows completed
  • Step Completion: Percentage of workflow steps completed
  • Drop-off Points: Where customers most often leave workflows
  • Completion Time: Average time to complete workflows

Customer Satisfaction

  • Satisfaction Scores: Customer ratings of workflow interactions
  • Sentiment Analysis: Emotional tone of customer messages
  • Complaint Rate: Percentage of negative feedback
  • Satisfaction Trends: How satisfaction changes over time

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Channel Performance

Compare workflow performance across different communication channels.
  • Execution Volume: Number of executions per channel
  • Success Rate: Success rate by channel
  • Response Time: Average response time by channel
  • Customer Satisfaction: Satisfaction scores by channel
  • WhatsApp Metrics: Performance on WhatsApp Business
  • Instagram Metrics: Performance on Instagram Direct
  • Voice Call Metrics: Performance on voice calls
  • SMS Metrics: Performance on SMS messages

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Business Impact Metrics

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Conversion Metrics

Track how workflows contribute to business goals.

Goal Achievement

  • Goal Completion Rate: Percentage of workflows achieving goals
  • Goal Value: Total value generated by workflow goals
  • Goal Trends: How goal achievement changes over time
  • Goal by Channel: Goal achievement by communication channel

Revenue Impact

  • Revenue Generated: Direct revenue from workflows
  • Cost Savings: Operational cost savings from automation
  • ROI: Return on investment for workflow automation
  • Revenue per Execution: Average revenue per workflow execution

Customer Acquisition

  • New Customers: Number of new customers acquired
  • Lead Generation: Number of leads generated
  • Conversion Rate: Percentage of leads converted to customers
  • Acquisition Cost: Cost per customer acquisition

Customer Retention

  • Retention Rate: Percentage of customers retained
  • Churn Rate: Percentage of customers lost
  • Lifetime Value: Average customer lifetime value
  • Retention Impact: Impact of workflows on retention

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Operational Efficiency

Measure the efficiency gains from workflow automation.
  • Time Savings: Time saved through automation
  • Resource Utilization: How efficiently resources are used
  • Scalability: How well workflows scale with volume
  • Cost per Interaction: Cost of each customer interaction
  • Consistency: How consistent workflow responses are
  • Accuracy: How accurate workflow responses are
  • Compliance: Adherence to business rules and policies
  • Quality Trends: How quality changes over time

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Advanced Analytics

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Cohort Analysis

Analyze customer behavior patterns over time.
  • Acquisition Cohorts: Group customers by acquisition date
  • Behavior Cohorts: Group customers by behavior patterns
  • Channel Cohorts: Group customers by communication channel
  • Workflow Cohorts: Group customers by workflow usage
  • Retention Rate: How many customers return over time
  • Engagement Rate: How engaged customers are over time
  • Value Progression: How customer value changes over time
  • Behavior Evolution: How customer behavior changes

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Funnel Analysis

Track customer progression through workflow steps.
  • Step Conversion: Percentage of customers moving between steps
  • Drop-off Analysis: Where customers most often leave
  • Time at Step: How long customers spend at each step
  • Step Performance: Performance of individual workflow steps
  • Bottleneck Identification: Find steps that slow down workflows
  • Optimization Opportunities: Suggest improvements
  • A/B Test Results: Compare different workflow versions
  • Impact Analysis: Measure impact of changes

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Predictive Analytics

Use data to predict future performance and behavior.
  • Performance Prediction: Predict future workflow performance
  • Volume Prediction: Predict future execution volume
  • Churn Prediction: Predict customer churn risk
  • Success Prediction: Predict workflow success likelihood
  • Regression Models: Predict continuous values
  • Classification Models: Predict categorical outcomes
  • Time Series Models: Predict time-based patterns
  • Ensemble Models: Combine multiple models for better accuracy

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Custom Metrics and KPIs

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Custom Metric Creation

Create metrics specific to your business needs.
  • Business Metrics: Revenue, profit, growth metrics
  • Operational Metrics: Efficiency, productivity, quality metrics
  • Customer Metrics: Satisfaction, loyalty, engagement metrics
  • Technical Metrics: Performance, reliability, scalability metrics
  • Data Sources: Select data sources for metrics
  • Calculation Logic: Define how to calculate metrics
  • Aggregation: Choose aggregation methods (sum, average, etc.)
  • Time Periods: Set time periods for metric calculation

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KPI Dashboard

Create dashboards focused on key performance indicators.
  • Strategic KPIs: High-level business objectives
  • Operational KPIs: Day-to-day operational metrics
  • Leading KPIs: Predictive indicators
  • Lagging KPIs: Outcome indicators
  • Real-time Updates: Live KPI updates
  • Alert Thresholds: Set alerts for KPI changes
  • Trend Analysis: Show KPI trends over time
  • Drill-down: Detailed analysis of KPI components

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Reporting and Visualization

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Report Generation

Generate detailed reports for stakeholders and analysis.
  • Executive Summary: High-level overview for executives
  • Detailed Analysis: In-depth analysis for analysts
  • Operational Reports: Day-to-day operational metrics
  • Custom Reports: User-defined report formats
  • Charts: Line, bar, pie, scatter plots
  • Tables: Data tables with sorting and filtering
  • Maps: Geographic data visualization
  • Gauges: KPI gauge displays

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Data Export

Export 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 Selection: Choose specific time periods
  • Data Filtering: Filter data before export
  • Scheduled Exports: Automate regular exports
  • API Access: Programmatic data access

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Best Practices

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Metric Selection

Choose the right metrics for your business needs.
  • Relevance: Choose metrics relevant to your goals
  • Actionability: Select metrics you can act upon
  • Measurability: Ensure metrics can be accurately measured
  • Timeliness: Choose metrics that provide timely insights
  • Financial Metrics: Revenue, profit, cost metrics
  • Customer Metrics: Satisfaction, loyalty, engagement
  • Internal Process Metrics: Efficiency, quality, productivity
  • Learning and Growth Metrics: Innovation, capability, culture

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Performance Monitoring

Establish effective performance monitoring practices.
  • Regular Reviews: Schedule regular metric reviews
  • Trend Analysis: Track trends over time
  • Benchmarking: Compare against industry standards
  • Continuous Improvement: Use metrics to drive improvements
  • Threshold Setting: Set appropriate alert thresholds
  • Alert Prioritization: Prioritize alerts by importance
  • Response Procedures: Define response procedures
  • Alert Optimization: Continuously optimize alert settings

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Next Steps

Explore more analytics features:

Performance Tracking

Monitor and optimize system performance

Analytics Overview

Comprehensive analytics dashboard

Workflow Builder

Build workflows with metrics in mind

API Reference

Access metrics data programmatically