Skip to main content

Field Analytics

View detailed statistics and distributions for individual form fields. Understand how users interact with each field.

Field Statistics​

Each field in your form has its own analytics showing how users interact with it. Statistics vary by field type.

Text Fields​

Statistics​

  • Average length - Mean character count
  • Min/Max length - Shortest and longest entries
  • Common values - Most frequently entered values
  • Empty rate - Percentage of responses with no value

Insights​

  • Identify if users are writing too much or too little
  • Find common entries that could become dropdown options
  • Detect fields users frequently skip

Number Fields​

Statistics​

  • Average - Mean value
  • Median - Middle value
  • Min/Max - Range of values
  • Standard deviation - Value spread
  • Distribution - Histogram showing value frequency

Insights​

  • Understand typical values
  • Identify outliers
  • Validate expected ranges

Visualization​

Value Distribution:
0-10:    ████████ 40%
11-20:   ████████████ 35%
21-30:   ██████ 20%
31+:     ██ 5%

Choice Fields (Dropdown, Radio, Checkbox)​

Statistics​

  • Distribution - Count and percentage for each option
  • Most selected - Highest popularity
  • Least selected - Lowest popularity
  • Multi-select patterns - Common combinations (for checkboxes)

Visualization​

Pie Chart​

Visual breakdown of selections:

  • Each option as a slice
  • Percentages labeled
  • Color-coded

Bar Chart​

Horizontal or vertical bars:

  • Option names
  • Count and percentage
  • Sorted by popularity

Example​

How did you hear about us?
├── Google         ████████████████ 45%
├── Social Media   ██████████ 30%
├── Friend         █████ 15%
└── Other          ███ 10%

Date Fields​

Statistics​

  • Earliest - First date entered
  • Latest - Most recent date entered
  • Date range - Span of dates
  • Distribution - Frequency by day, week, or month
  • Trend - Pattern over time

Insights​

  • Identify popular dates
  • See seasonal patterns
  • Find booking trends

Boolean Fields​

Statistics​

  • True count - Number of "yes" responses
  • False count - Number of "no" responses
  • Percentage - Proportion of true vs false
  • Skip rate - How often field is left blank

Visualization​

Subscribe to newsletter:
├── Yes  ████████████████ 65%
└── No   ████████ 35%

Completion Metrics​

Field Completion Rate​

Percentage of responses with this field filled:

  • 100% = Always completed
  • Low % = Often skipped

Skip Rate​

How often the field is left empty:

  • Identifies optional vs required behavior
  • Highlights confusing fields

Error Rate​

How often validation errors occur:

  • Pattern validation failures
  • Min/max violations
  • Required field errors

Time Spent​

Average Time on Field​

How long users spend on each field:

  • Quick fields (< 5 seconds)
  • Normal fields (5-30 seconds)
  • Slow fields (> 30 seconds)

Insights​

  • Long time = potentially confusing
  • Very quick = possibly skipped
  • Expected time vs actual

Correlation Analysis​

Understand relationships between fields:

Field Dependencies​

  • Which fields are filled together
  • Conditional logic effectiveness
  • Branching patterns

Value Correlations​

  • When field A = X, field B usually = Y
  • Predictive patterns
  • User segments
tip

Use field analytics to identify fields that users frequently skip or fields with unexpected value patterns. This can help improve form design.

Accessing Field Analytics​

  1. Navigate to form Analytics tab
  2. Scroll to Field Statistics section
  3. Click on individual fields for details
  4. Or view all fields in summary table

Using Insights​

Optimize Field Labels​

If a field has high error rate:

  • Clarify the label
  • Add help text
  • Provide examples

Convert to Dropdowns​

If a text field has common values:

  • Create dropdown with options
  • Reduce data entry errors
  • Improve consistency

Make Optional​

If a field has low completion:

  • Consider making optional
  • Move to later page
  • Remove if not needed

Adjust Validation​

If a field has high validation errors:

  • Loosen constraints
  • Improve error messages
  • Add format hints

Best Practices​

  1. Monitor regularly - Check analytics weekly
  2. Compare periods - Look for changes over time
  3. Act on insights - Improve based on data
  4. A/B test changes - Measure improvement
  5. Focus on problem fields - Fix lowest performers first

Next Steps​