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Documentation Index

Fetch the complete documentation index at: https://docs.encoreos.io/llms.txt

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This guide explains how to use the Wizard Analytics Dashboard to understand user behavior, identify drop-off points, and optimize your wizard workflows.

Accessing the Analytics Dashboard

  1. Navigate to Platform → Wizards
  2. Open a wizard template in the Builder
  3. Click the Analytics button in the toolbar
Note: Analytics data is only available for published wizards that have been executed by users.

Understanding Metrics

Overview Cards

The dashboard displays key performance indicators:
MetricDescription
Total StartsNumber of times users began the wizard
CompletionsNumber of successful wizard completions
Completion RatePercentage of started wizards that were completed
Avg. DurationAverage time to complete the wizard
Abandonment RatePercentage of wizards that were abandoned
Avg. Steps CompletedAverage number of steps users complete before dropping off

Funnel Chart

The funnel visualization shows user progression through each step:
  • Full bars indicate steps with high retention
  • Shrinking bars show where users are dropping off
  • Hover over any step to see exact counts and percentages

Drop-Off Analysis

The drop-off table highlights problematic steps:
ColumnDescription
StepStep name and position
Enter CountUsers who reached this step
Exit CountUsers who left at this step
Drop-Off RatePercentage who left at this step
Avg. TimeAverage time spent on this step
High drop-off indicators:
  • 🔴 Red badge: >30% drop-off rate (critical)
  • 🟡 Yellow badge: 15-30% drop-off rate (warning)
  • 🟢 Green badge: <15% drop-off rate (healthy)

Date Range Selection

Use the date picker to filter analytics by time period:
  • Last 7 days - Recent performance
  • Last 30 days - Monthly trends (default)
  • Last 90 days - Quarterly analysis
  • Custom range - Select specific dates

Exporting Data

Click the Export CSV button to download analytics data for external analysis. The export includes:
  • Step-by-step metrics
  • Daily/hourly breakdowns
  • User session details (anonymized)

Optimizing Wizard Performance

Reducing Drop-Off

  1. Simplify complex steps - Break long forms into multiple smaller steps
  2. Add help text - Use tooltips and descriptions for confusing fields
  3. Review validation - Ensure error messages are clear and helpful
  4. Check field requirements - Remove unnecessary required fields

Improving Completion Time

  1. Use smart defaults - Pre-populate fields where possible
  2. Enable auto-save - Reduce fear of losing progress
  3. Optimize field order - Put easiest fields first
  4. Add progress indicators - Show users how far they’ve come

A/B Testing

Use version history to test different wizard configurations:
  1. Publish a new version with changes
  2. Monitor analytics for both versions
  3. Compare completion rates
  4. Rollback or iterate based on data

Data Retention

  • Analytics events are retained for 180 days
  • Aggregated metrics are retained indefinitely
  • No PII/PHI is stored in analytics data

Privacy & Compliance

All analytics data is:
  • Anonymized - No user identifiers stored
  • PHI-sanitized - Sensitive field values are never logged
  • Organization-scoped - Only visible to your organization
  • HIPAA-compliant - Safe for healthcare applications

Troubleshooting

No Data Showing

  • Verify the wizard has been published
  • Check that the date range includes execution dates
  • Ensure analytics tracking is enabled in module settings

Unexpected Metrics

  • Check for wizard version changes during the period
  • Review if validation rules were updated
  • Consider external factors (training, policy changes)