Individual Form Type Analytics – Deep Dive Metrics & Insights

Unlock granular insights with field-by-field analysis and AI-powered recommendations #

Individual form analytics take you beyond surface-level metrics into the heart of user behavior. See exactly which questions engage users, which fields cause friction, and where your form loses potential conversions. With field-by-field completion rates, progressive drop-off tracking, and multiple visualization options, you can pinpoint specific areas for improvement with surgical precision. FORMEPIC’s AI-powered insights analyze your form’s performance and provide actionable recommendations, while flexible export options let you share findings with stakeholders or conduct deeper analysis. This granular level of analytics transforms guesswork into data-driven optimization, helping you create forms that convert better and provide better user experiences.

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Accessing Individual Form Analytics #

From the Analytics Dashboard #

1. Navigate to “Analytics” from the main navigation
2. Locate your form in the performance comparison table
3. Click the “View” button next to the form you want to analyze
4. The detailed analytics page opens with comprehensive metrics

From the Created Page #

1. Navigate to “Created” from the main navigation
2. Find your form in the list
3. Click the three-dot menu (⋮) next to the form
4. Select “Analytics” from the dropdown menu

Direct Access #

Individual form analytics pages have unique URLs you can bookmark for quick access to frequently monitored forms.

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Form-Level Metrics #

Overview Cards #

The top of the individual analytics page displays key metrics in easy-to-scan cards:

Form Views #

• Definition: Total number of times the form was loaded
• Includes: All page loads, regardless of user interaction
• Use Case: Measure visibility and traffic reach

Form Starts #

• Definition: Number of users who interacted with at least one field
• Calculation: Tracks first field interaction per session
• Use Case: Gauge initial engagement and form appeal

Completions #

• Definition: Successfully submitted forms with all required fields completed
• Includes: Forms that reached the thank you page
• Use Case: Measure ultimate conversion success

Conversion Funnel Visualization #

The analytics page includes a visual conversion funnel showing the progression:

1. Form Views → 2. Form Starts → 3. Completions

Understanding Drop-off:

• View to Start drop-off: Users who saw the form but didn’t engage
• High drop-off here suggests poor initial presentation
• Consider improving form introduction, design, or value proposition
• Start to Completion drop-off: Users who began but didn’t finish
• Points to friction within the form itself
• Requires field-by-field analysis to identify problem areas

Optimization Priority:

• Focus on the stage with the largest drop-off percentage
• Small improvements at high-volume stages yield bigger results
• Monitor changes over time to measure optimization effectiveness

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Field-by-Field Analytics #

Understanding Field Metrics #

Each field in your form has its own analytics row showing:

Metric	Description
Field Label	Question or field name
Unique Viewers	Users who viewed this field
Starters	Users who interacted with this field
Completions	Users who completed this field and continued
Abandons	Users who left the form at or after this field
Completion Rate	Percentage who successfully completed the field
Abandon Rate	Percentage who left at this field

Field-Level Completion Rates #

High Completion Rate (80%+):

• Field is clear and easy to complete
• Users find the question relevant
• No significant friction

Medium Completion Rate (50-80%):

• Some users struggle or hesitate
• May need clearer instructions
• Consider simplifying or making optional

Low Completion Rate (<50%):

• Significant friction point
• Urgent optimization needed
• Common causes:
• Question is confusing
• Too much information requested
• Sensitive or invasive question
• Technical input issues

Field-Level Abandon Rates #

Understanding Abandons:

• Shows where users give up on your form
• High abandons at a specific field indicate a problem area
• Progressive abandons across many fields suggest form is too long

Optimization Strategies by Abandon Rate:

0-10% Abandon Rate:

• Field is performing well
• No immediate action needed
• Monitor for changes

10-25% Abandon Rate:

• Moderate concern
• Consider minor improvements:
• Add help text or tooltips
• Clarify question wording
• Provide examples

25%+ Abandon Rate:

• Critical issue requiring immediate attention
• Action items:
• Make field optional if possible
• Split complex questions into simpler parts
• Remove if not essential
• Add clear instructions or examples
• Consider alternative field types

Progressive Drop-off Through Form #

Field-by-field analytics reveal the cumulative effect of form length:

Typical Drop-off Pattern:

• Fields 1-3: Minimal drop-off (5-10%)
• Fields 4-7: Moderate drop-off (10-20%)
• Fields 8+: Significant drop-off (20-40%+)

What This Tells You:

• Users have limited patience
• Every additional field increases abandon risk
• Front-load important questions
• Save optional fields for later

Optimization Tactics:

1. Prioritize essential fields: Only ask what you truly need
2. Reorder strategically: Move high-abandon fields later if possible
3. Group related fields: Create logical sections
4. Add progress indicators: Help users understand completion status
5. Consider multi-step forms: Break long forms into shorter pages

Identifying Problem Fields #

Red Flags:

• Sudden spike in abandon rate compared to previous field
• Completion rate drops below 60%
• Comments in responses indicate confusion
• Higher abandons on mobile devices

Investigation Checklist:

• Is the question clearly worded?
• Does it request sensitive information?
• Is the field type appropriate for the question?
• Are there too many options (for choice fields)?
• Do validation rules cause errors?
• Does the field work on mobile devices?

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Response Visualization Options #

FORMEPIC provides multiple chart types to visualize field responses, helping you understand answer patterns and distributions.

Chart Types #

Bar Chart #

Best For:

• Multiple choice questions
• Rating scales (1-5 stars)
• NPS scores (0-10)
• Number ranges
• Comparing multiple options

When to Use:

• Need to compare relative popularity of options
• Want to see clear magnitude differences
• Displaying ordinal data (rankings, scales)

Visual Features:

• Vertical or horizontal bars
• Color-coded by value
• Easy comparison of multiple options
• Shows exact counts

Line Chart #

Best For:

• Time-based data
• Trend analysis
• Date field responses
• Sequential data

When to Use:

• Tracking changes over time
• Identifying trends or patterns
• Analyzing response volume by date
• Showing progression or decline

Visual Features:

• Continuous data display
• Clear trend lines
• Easy to spot patterns
• Good for temporal analysis

Pie Chart #

Best For:

• Single choice questions
• Yes/No fields
• Dropdown selections
• Showing proportional distribution

When to Use:

• Need to show percentage breakdown
• Comparing parts to whole
• Limited number of options (2-6 ideal)
• Highlighting dominant choices

Visual Features:

• Circular segments
• Percentage labels
• Color-coded sections
• At-a-glance proportions

Table View #

Best For:

• Text responses (short answer, long answer)
• Email addresses
• Phone numbers
• Complex data
• File uploads

When to Use:

• Detailed text responses
• Need to see actual values
• Other visualizations don’t apply
• Reviewing individual submissions

Visual Features:

• List format
• Sortable columns
• Detailed text display
• Raw data access

Switching Between Chart Types #

1. Each field has a chart type selector above its visualization
2. Click the chart icons to switch views:

• 📊 Bar Chart
• 📈 Line Chart
• 🥧 Pie Chart
• 📋 Table View

1. System remembers your preference per field type
2. Default suggestions based on field type

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Field-Specific Visualizations #

Rating Fields (1-5 Stars) #

Visualization: Bar chart showing distribution across star ratings

Metrics Shown:

• Count per rating (1-5 stars)
• Average rating
• Most common rating
• Distribution percentage

Insights to Extract:

• Overall satisfaction level
• Rating consistency or polarization
• Improvement areas (if low ratings dominate)

NPS Scores (0-10) #

Visualization: Bar chart grouped by category

Categories:

• Detractors: 0-6 (red)
• Passives: 7-8 (yellow)
• Promoters: 9-10 (green)

Calculated Metrics:

• NPS Score: % Promoters – % Detractors
• Average score
• Distribution by category

Interpretation:

• NPS above 50: Excellent
• NPS 30-50: Good
• NPS 0-30: Needs improvement
• NPS below 0: Critical issues

Choice Fields (Single/Multiple Choice, Dropdown) #

Visualization: Pie chart for single choice, bar chart for multiple choice

Data Shown:

• Response count per option
• Percentage of total
• Most/least popular choices
• “Other” responses (if enabled)

Use Cases:

• Product preference testing
• Feature prioritization
• Demographic analysis
• Market research

Number Ranges and Price Fields #

Visualization: Bar chart with grouped ranges

Range Display:

• Automatically creates meaningful ranges
• Shows distribution across ranges
• Calculates average and median
• Identifies outliers

Applications:

• Budget analysis
• Age group distribution
• Quantity preferences
• Pricing sensitivity

Date Field Distributions #

Visualization: Line chart showing dates selected

Timeline Display:

• Response count by date
• Date range spread
• Most popular dates
• Seasonal patterns

Use Cases:

• Event registration patterns
• Appointment scheduling
• Delivery date preferences
• Availability analysis

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AI-Powered Insights #

What Are AI Insights? #

FORMEPIC’s AI analyzes your form analytics and generates personalized recommendations to improve performance. The AI examines metrics like completion rates, abandon rates, field-level data, and response patterns to identify optimization opportunities.

Generating Insights #

How to Generate:

1. Navigate to individual form analytics
2. Click the “Insights” tab or “Generate AI Insights” button
3. AI analyzes your form data (takes 30-60 seconds)
4. Insights appear with specific recommendations

What the AI Analyzes:

• Overall conversion and completion rates
• Field-by-field performance
• Drop-off patterns and trends
• Response distributions
• Comparison to industry benchmarks
• Form length and complexity
• Question types and ordering

Understanding AI Recommendations #

Typical Insights Include:

1. Form Structure Recommendations #

• Optimal form length
• Field reordering suggestions
• Multi-step form suggestions
• Progress indicator recommendations

2. Field Optimization #

• Problematic fields to revise or remove
• Questions to make optional
• Help text additions
• Field type changes

3. Conversion Optimization #

• Introduction improvements
• Trust signal suggestions
• Call-to-action enhancements
• Mobile optimization tips

4. Performance Benchmarking #

• How your form compares to similar forms
• Industry standard comparisons
• Achievement highlights
• Priority improvement areas

Saving and Viewing Past Insights #

Automatic Saving:

• AI insights are automatically saved when generated
• Access past insights anytime from the Insights tab
• Compare insights over time to track improvements
• See how changes affected performance

Viewing Saved Insights:

1. Open individual form analytics
2. Navigate to “Insights” tab
3. Previously generated insights display automatically
4. Generate new insights to see updated recommendations

Best Practices:

• Generate insights after significant traffic (50+ views minimum)
• Review insights before making major form changes
• Implement recommendations one at a time
• Generate new insights after optimizations to measure impact
• Keep a record of which recommendations you implemented

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Exporting Analytics Data #

Export to Word Document #

FORMEPIC allows you to export comprehensive analytics reports in Microsoft Word format (.docx).

What’s Included:

• Form title and overview metrics
• Summary statistics
• Field-by-field analytics table
• Charts and visualizations
• Key insights and recommendations
• Date range information
• Export timestamp

How to Export:

1. Open individual form analytics
2. Click “Export” button (download icon) in the top-right
3. Select “Word Document (.docx)”
4. File downloads to your device
5. Open in Microsoft Word or compatible application

Use Cases:

• Client reporting
• Team presentations
• Stakeholder updates
• Performance documentation
• Historical record keeping
• Offline analysis

Export Benefits #

• Professional formatting: Ready-to-share reports
• Preserve visuals: Charts and graphs included
• Shareable: Send to team members or clients
• Editable: Add your own notes and analysis
• Printable: Hard copy for meetings
• No data loss: Complete analytics snapshot

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Date Range Filtering for Time-Based Analysis #

Accessing Date Filters #

The date range selector is available at the top-right of individual form analytics pages.

Using Date Filtering #

Select Preset Ranges:

• Last 7 days: Recent performance snapshot
• Last 30 days: Monthly performance
• Last 90 days: Quarterly trends
• All time: Complete history

Custom Date Selection:

1. Click the date range selector
2. Choose start date from calendar
3. Choose end date from calendar
4. Click “Apply” to filter data
5. All metrics and charts update instantly

Time-Based Analysis Strategies #

Campaign Performance #

• Set date range to campaign duration
• Compare before/after campaign metrics
• Measure marketing ROI

Optimization Impact #

• Filter to before/after form changes
• Compare metrics to measure improvements
• Identify which changes worked

Seasonal Patterns #

• Compare same periods across different years
• Identify peak and slow periods
• Plan resources accordingly

Trend Analysis #

• Select rolling 30-day periods
• Track performance over time
• Spot gradual improvements or declines

Date Filter Best Practices #

1. Use consistent periods when comparing performance
2. Allow sufficient data (avoid very short ranges)
3. Consider external factors (holidays, events) when analyzing
4. Export filtered data to maintain records
5. Document significant dates for future reference

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Requirements #

• Form must have at least one submission for detailed analytics
• Minimum 20-30 submissions recommended for meaningful field-level insights
• AI insights work best with 50+ submissions
• Active internet connection for AI insight generation
• Browser must support JavaScript for visualizations

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Tips and Tricks #

1. Start with overview metrics before diving into field details
2. Sort fields by abandon rate to quickly find problem areas
3. Use multiple chart types to see data from different perspectives
4. Generate AI insights regularly (monthly or after major changes)
5. Export before making changes to track optimization impact
6. Focus on high-abandon fields first for maximum improvement
7. Test changes in test mode before applying to live forms
8. Compare similar forms to identify best practices
9. Use date filters to isolate the impact of specific changes
10. Share insights with team using exported reports

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Important Notes #

• Field-by-field analytics require JavaScript-enabled browsers for visualizations
• Chart types auto-select based on field type but can be manually changed
• AI insights reflect data at the time of generation (regenerate for updates)
• Exported Word documents include data from selected date range only
• Very short forms (1-3 fields) may not show significant drop-off patterns
• Mobile and desktop analytics are combined (not separated by device)
• Test mode submissions are excluded from AI insight analysis
• Date filtering applies to submission timestamp, not when analytics were viewed

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Common Issues & Troubleshooting #

Issue: Field Analytics Show Zero Responses #

Possible Causes:

• Field was recently added
• Conditional logic hides field from most users
• Field appears after common abandon point

Solutions:

1. Check conditional logic settings
2. Review field order and placement
3. Generate test submissions to verify field appears
4. Allow more time for data collection

Issue: Charts Not Displaying #

Possible Causes:

• No responses for that field yet
• Browser JavaScript disabled
• Ad blockers interfering
• Insufficient data for visualization

Solutions:

1. Verify field has responses
2. Enable JavaScript in browser settings
3. Disable ad blockers temporarily
4. Switch to table view as alternative

Issue: AI Insights Not Generating #

Possible Causes:

• Insufficient data (less than 20 submissions)
• Network connectivity issues
• Temporary server issues

Solutions:

1. Wait for more submissions (50+ recommended)
2. Check internet connection
3. Try generating again in a few minutes
4. Refresh page and retry

Issue: Export Fails or File Won’t Open #

Possible Causes:

• Browser blocking download
• No Word-compatible software installed
• Corrupted download

Solutions:

1. Check browser download permissions
2. Try different browser
3. Install Microsoft Word or compatible app (Google Docs, LibreOffice)
4. Re-download the export file

Issue: Abandon Rate Seems High on Specific Field #

Possible Causes:

• Question is confusing or poorly worded
• Field requests sensitive information
• Required field users don’t want to complete
• Technical validation issues
• Poor mobile experience

Solutions:

1. Review field question and help text
2. Consider making field optional
3. Simplify or split complex questions
4. Test validation rules for errors
5. Review field on mobile devices
6. Check if field type is appropriate
7. Add examples or formatting guidance

Issue: Can’t See Recent Submissions in Analytics #

Possible Causes:

• Analytics cache delay
• Date range filter excluding recent data
• Submissions still processing

Solutions:

1. Refresh the analytics page
2. Check date range includes today
3. Wait a few minutes for processing
4. Verify submissions appear in Responses page

Issue: Chart Shows “Other” Responses But Can’t See Details #

Possible Causes:

• Users entered custom text in “Other” option
• Multiple variations of similar answers

Solutions:

1. Switch to Table view to see actual “Other” responses
2. Consider adding popular “Other” responses as new options
3. Review raw responses in the Responses dashboard