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Analytics and Reporting

Audience: Site owners and marketers who want to optimize forms and measure performance.

This comprehensive guide explains how to leverage EasyForms' powerful built-in analytics to understand form performance, identify bottlenecks, track conversions, and make data-driven decisions to improve your forms.

← Back to Overview · Viewing Submissions

Table of Contents​

  1. Overview
  2. Accessing Analytics
  3. Overview Analytics
  4. Submissions Analytics
  5. Conversion Analytics
  6. Field Analytics
  7. Device and Audience Analytics
  8. Performance Analytics
  9. Trends and Time-Based Analysis
  10. Response Analytics
  11. AI-Powered Insights
  12. Exporting and Sharing Reports
  13. Best Practices
  14. Troubleshooting

1. Overview​

What Is Form Analytics?​

Form analytics provides deep insights into how users interact with your forms. Instead of just counting submissions, you can:

  • Track every step of the user journey
  • Identify where users drop off
  • Measure completion rates and conversion
  • Analyze field-level engagement
  • Understand device and platform usage
  • Monitor performance trends over time
  • Get AI-powered recommendations

Why Analytics Matter​

Make Data-Driven Decisions:

  • ✅ Improve conversion rates - Identify and fix bottlenecks
  • ✅ Reduce abandonment - Find and eliminate friction points
  • ✅ Optimize user experience - Understand what works and what doesn't
  • ✅ Measure ROI - Track form performance over time
  • ✅ A/B testing validation - Compare different form versions
  • ✅ Resource allocation - Focus on high-impact improvements

Key Metrics at a Glance:

  • Total Views (how many people saw your form)
  • Total Submissions (how many completed it)
  • Conversion Rate (percentage who completed)
  • Average Completion Time (how long it takes)
  • Abandonment Rate (percentage who started but didn't finish)
  • Device Breakdown (desktop vs mobile vs tablet)
  • Field-Level Analytics (performance of individual fields)

Analytics Dashboard Tour​

When you open analytics, you'll see multiple tabs:

  1. Overview - High-level summary and key metrics
  2. Submissions - Detailed submission data and trends
  3. Conversion - Conversion funnel and drop-off analysis
  4. Fields - Field-by-field performance metrics
  5. Devices - Device and platform breakdown
  6. Audience - Geographic and demographic data
  7. Performance - Speed and technical metrics
  8. Trends - Time-based analysis and patterns
  9. Responses - Individual response analysis
  10. AI Insights - AI-powered recommendations

2. Accessing Analytics​

From the Component Dashboard​

  1. Go to Components → EasyForms
  2. Click on "Analytics" in the main navigation
  3. Select a specific form from the dropdown
  4. Choose date range (default: last 30 days)

From a Specific Form​

  1. Go to Components → EasyForms → Forms
  2. Click on a form in the list
  3. Click "Analytics" button in the toolbar
  4. Analytics opens for that form

Date Range Selection​

Quick Ranges:

  • Today
  • Yesterday
  • Last 7 days
  • Last 30 days (default)
  • Last 90 days
  • This month
  • Last month
  • This year
  • All time

Custom Range:

  1. Click "Custom"
  2. Select start date
  3. Select end date
  4. Click "Apply"

Filtering Options​

Filter by:

  • Form status (published/unpublished)
  • Form type (form/survey/quiz/poll)
  • Created by (specific user)
  • Category or tag
  • Custom date range

Sort by:

  • Most submissions
  • Highest conversion rate
  • Newest
  • Recently updated
  • Alphabetically

3. Overview Analytics​

The Overview tab provides a high-level summary of form performance.

Key Metrics Cards​

Total Submissions

  • Number of completed submissions
  • Change from previous period (↑↓)
  • Trend indicator (green/red)

Total Views

  • Number of times form was viewed
  • Unique vs total views
  • View trend

Conversion Rate

  • Percentage who completed form
  • Industry benchmark comparison
  • Period-over-period change

Average Completion Time

  • Mean time to complete
  • Median time
  • Fastest and slowest submissions

Abandonment Rate

  • Percentage who started but didn't finish
  • Drop-off points
  • Improvement suggestions

Recent Submissions​

Shows:

  • Last 10 submissions
  • Submission date/time
  • Score (for quizzes)
  • Completion status
  • Quick view link

Actions:

  • Click to view full submission
  • Export individual response
  • Mark as reviewed

Top Performing Forms:

  • Ranked by submissions
  • Conversion rate
  • View count
  • Recent activity

Helps identify:

  • Most successful forms
  • Forms needing attention
  • Benchmark for new forms

Submission Trend Chart​

Visual graph showing:

  • Submissions over time
  • Views overlay
  • Conversion rate line
  • Notable events/dates

Time periods:

  • Daily (last 30 days)
  • Weekly (last 12 weeks)
  • Monthly (last 12 months)
  • Yearly (all time)

Interactions:

  • Hover for exact numbers
  • Click to drill down
  • Export chart data
  • Download as image

4. Submissions Analytics​

The Submissions tab provides detailed analysis of individual form submissions and submission patterns.

Submission Stats Overview​

Quick Stats Cards:

Today's Submissions

  • Real-time count of submissions today
  • Compares to yesterday's count
  • Shows trend indicator (↑↓)
  • Helps monitor daily activity

Daily Average

  • Mean submissions per day
  • Calculated over selected date range
  • Baseline for performance
  • Identifies seasonal patterns

Peak Day

  • Day with most submissions
  • Shows submission count
  • Displays date
  • Helps identify success factors

Submissions Table​

Comprehensive Data View:

The submissions table shows all form responses with:

Columns:

  • Submission ID
  • Date and time submitted
  • User/respondent name (if logged in)
  • Completion status
  • Score (for quizzes)
  • Actions (view, export, delete)

Features:

  • Search - Find specific submissions
  • Filter - By date, user, score, status
  • Sort - Click column headers
  • Pagination - Navigate large datasets
  • Bulk actions - Select multiple submissions
  • Quick view - Preview without leaving page

Interactions:

  1. Click any row to view full submission
  2. Use checkboxes for bulk actions
  3. Export selected submissions
  4. Mark as reviewed/unreviewed

Hourly Activity Pattern​

24-Hour Breakdown:

Visual chart showing submission activity by hour:

Shows:

  • Number of submissions per hour
  • Peak activity hours highlighted
  • Average submissions per hour line
  • Color-coded intensity

Use cases:

  • Schedule email follow-ups
  • Plan customer support coverage
  • Optimize ad campaign timing
  • Understand user behavior patterns

Example insights:

Peak hours: 9 AM - 11 AM (45 submissions)
Low hours: 2 AM - 5 AM (0 submissions)
Recommendation: Send follow-up emails at 9 AM

Weekly Distribution​

Day of Week Breakdown:

Shows which days get the most submissions:

Displays:

  • Bar chart of 7 days
  • Submission count per day
  • Percentage of weekly total
  • Trend indicators

Typical patterns:

  • B2B forms peak on Tuesday-Thursday
  • Consumer forms peak on weekends
  • Event registration peaks near deadlines

Actions you can take:

  • Adjust email campaign schedules
  • Plan content releases
  • Optimize support staffing

Geographic Distribution​

Location Analysis:

Shows where your respondents are located:

Data includes:

  • Top 10 countries
  • Top 10 cities
  • Submission count per location
  • Percentage breakdown
  • Regional map visualization

Filters:

  • By country
  • By state/province
  • By city
  • By postal code

Use cases:

  • Target local marketing
  • Plan regional events
  • Understand audience geography
  • Localize form content

5. Conversion Analytics​

The Conversion tab tracks how effectively your form converts visitors into completed submissions.

Conversion Metrics​

Four Key Metrics:

Completion Rate

  • Percentage who completed the form
  • Formula: (Completed ÷ Started) × 100
  • Industry benchmarks shown
  • Period-over-period comparison

Started

  • Number of users who began the form
  • First field interaction counts as "started"
  • Includes partial completions
  • Baseline for conversion funnel

Completed

  • Number of finished submissions
  • Only counts fully completed forms
  • Excludes abandoned attempts
  • Your conversion success metric

Abandonment Rate

  • Percentage who started but didn't finish
  • Formula: (Started - Completed) ÷ Started × 100
  • Identifies friction points
  • Target for optimization

Conversion Funnel Visualization​

Visual Journey Map:

The funnel shows user progression through stages:

Typical funnel stages:

  1. Viewed (100%) - All form page views
  2. Started (65%) - First field interaction
  3. Completed (45%) - Successful submission

Features:

  • Color-coded stages (blue → violet → green)
  • Width represents volume
  • Drop-off percentages between stages
  • Total conversion at bottom

Reading the funnel:

1,000 Views (100%)
    ↓ 35% drop-off
650 Started (65%)
    ↓ 20% drop-off  
450 Completed (45%)

Total Conversion: 45%
Total Drop-off: 55%

Optimization tips:

  • High view-to-start drop-off? → Improve form introduction
  • High start-to-complete drop-off? → Reduce form length or complexity

Conversion Trend Chart​

Over-Time Analysis:

Line chart showing conversion rate changes:

Displays:

  • Daily/weekly/monthly conversion rates
  • Completion trend line
  • Abandonment trend line
  • Moving average overlay

Use cases:

  • Track optimization impact
  • Identify seasonal patterns
  • Monitor form health
  • Validate A/B test results

Example interpretation:

Week 1: 42% conversion
↓ Added progress bar
Week 2: 58% conversion
Result: +16% improvement

Device-Specific Conversion​

Breakdown by Device Type:

Compare conversion rates across devices:

Shows:

  • Desktop conversion rate
  • Mobile conversion rate
  • Tablet conversion rate
  • Comparison chart

Common findings:

  • Desktop typically has higher conversion
  • Mobile may show drop-offs at specific fields
  • Tablet falls between desktop and mobile

Actions to take:

  • Optimize mobile layout for low-converting devices
  • Simplify forms for mobile users
  • Test on actual devices

Drop-off Analysis​

Identify Problem Areas:

Pinpoint exactly where users abandon:

Shows:

  • Field-by-field drop-off rates
  • Highest abandonment fields highlighted
  • Cumulative drop-off progression
  • Recommendations for improvement

Common problem fields:

  • File upload fields (technical issues)
  • Long text areas (too much effort)
  • Optional fields early in form (confusion)
  • Fields with unclear labels

Red flags:

  • More than 20% drop-off at any single field
  • Sudden spikes in abandonment
  • Mobile-specific drop-offs

Solutions:

  • Make fields clearer
  • Reduce required fields
  • Add help text
  • Improve field validation

Time to Conversion​

Completion Speed Analysis:

Understand how long it takes to complete:

Metrics:

  • Average completion time
  • Median completion time
  • Fastest completion
  • Slowest completion
  • Distribution histogram

Benchmarks:

  • Short forms: < 2 minutes
  • Medium forms: 2-5 minutes
  • Long forms: 5-10 minutes
  • Complex forms: 10+ minutes

Insights:

Average: 4 min 30 sec
Median: 3 min 15 sec
(Average > Median = some very slow completions)

Recommendation: Investigate outliers

Actions:

  • If too long → Reduce fields
  • If too short → May indicate rushed/fake submissions
  • Large variance → Consider splitting into multi-page

6. Field Analytics​

The Fields tab provides deep insights into individual field performance.

Field Overview Metrics​

Top-Level Stats:

Total Fields

  • Count of all fields in form
  • Breakdown by field type
  • Required vs optional count

Average Response Rate

  • Mean response rate across all fields
  • Shows overall form engagement
  • Benchmark against industry standards

Average Skip Rate

  • Mean skip rate for optional fields
  • Indicates field relevance
  • Higher rates suggest unnecessary fields

Problem Fields Count

  • Number of fields with skip rate > 30%
  • Quick health indicator
  • Needs immediate attention

Field Performance Table​

Detailed Field-by-Field Data:

Columns:

  • Field name/label
  • Field type (text, email, select, etc.)
  • Response count
  • Response rate
  • Skip rate
  • Average completion time
  • Error rate (validation failures)
  • Performance badge (Excellent/Good/Needs Attention/Critical)

Sortable by:

  • Field name (alphabetically)
  • Response count (highest/lowest)
  • Skip rate (highest/lowest)
  • Completion time (fastest/slowest)

Performance badges:

  • 🟢 Excellent - Skip rate < 10%
  • 🔵 Good - Skip rate 10-30%
  • 🟠 Needs Attention - Skip rate 30-50%
  • 🔴 Critical - Skip rate > 50%

Actions:

  1. Click field name to drill down
  2. View individual field responses
  3. Export field-specific data
  4. Access edit field directly

Problem Fields Identification​

Automatic Issue Detection:

Highlights fields with high skip rates:

Shows:

  • Top 5 problem fields
  • Skip rate percentage
  • Submission count
  • Suggested fixes

Common issues:

  • Unclear labels → Add help text
  • Too many choices → Simplify options
  • Poor placement → Reorder fields
  • Not relevant → Make optional or remove

Example:

Field: "Company Registration Number"
Skip Rate: 67%
Submissions: 1,000
Problem: Only 330 filled this out

Suggestion: Make optional or add help text
explaining when this is needed

Top Performing Fields​

Success Stories:

Shows fields with excellent response rates:

Displays:

  • Top 5 best-performing fields
  • Response rate percentage
  • Submission count
  • Success factors

Learn from winners:

  • Clear, concise labels
  • Obvious purpose
  • Easy to answer
  • Properly placed

Replicate success:

  • Use similar wording patterns
  • Match field complexity
  • Consider field order

Response Rate Chart​

Visual Field Comparison:

Bar chart showing response rates for all fields:

Features:

  • Horizontal bars for easy comparison
  • Color-coded by performance
  • Sorted by response rate
  • Interactive hover details

Quick insights:

  • Identify outliers at a glance
  • Compare similar field types
  • Track improvements over time

Field Type Distribution​

Field Type Breakdown:

Pie chart showing distribution of field types:

Shows:

  • Percentage by type (text, email, select, etc.)
  • Count per type
  • Popular field types

Insights:

  • Too many text fields? → Consider dropdowns
  • No file uploads? → May miss documents
  • Heavy on checkboxes? → Consider simplification

7. Device and Audience Analytics​

The Devices tab shows how users access your forms across different platforms.

Device Overview​

Platform Statistics:

Key metrics:

  • Desktop sessions
  • Mobile sessions
  • Tablet sessions
  • Unknown/Other sessions

Percentages:

  • Desktop: typically 50-70%
  • Mobile: typically 25-40%
  • Tablet: typically 5-10%

Trend indicators:

  • Mobile share increasing/decreasing
  • Desktop dominance level
  • Cross-device usage

Device Type Breakdown​

Detailed Platform Analysis:

Shows for each device type:

  • Submission count
  • Percentage of total
  • Conversion rate
  • Average completion time
  • Most common screen sizes

Visual representation:

  • Donut chart with segments
  • Color-coded categories
  • Interactive hover details

Use cases:

  • Prioritize mobile optimization if high mobile traffic
  • Test on actual devices used
  • Optimize layouts for common screen sizes

Platform/OS Breakdown​

Operating System Analysis:

Tracks:

  • Windows
  • macOS
  • iOS
  • Android
  • Linux
  • Other

Shows:

  • Usage percentage
  • Version breakdown (iOS 17, Android 13, etc.)
  • Submission counts
  • Conversion rates by OS

Optimization insights:

  • Test on top 3 platforms
  • Check OS-specific issues
  • Ensure cross-platform compatibility

Browser Breakdown​

Browser Analytics:

Top browsers tracked:

  • Chrome
  • Safari
  • Firefox
  • Edge
  • Samsung Internet
  • Opera
  • Other

Data points:

  • Browser version
  • Usage percentage
  • Submission count
  • Known compatibility issues

Action items:

  • Test in top 3 browsers
  • Fix browser-specific bugs
  • Check older browser support

Device Conversion Comparison​

Performance by Device:

Compare how different devices convert:

Typical patterns:

Desktop: 55% conversion rate
Mobile: 38% conversion rate
Tablet: 45% conversion rate

Analysis:

  • If mobile converts poorly → Mobile UX issues
  • If tablet outperforms mobile → Screen size factor
  • If desktop far ahead → Form not mobile-optimized

Optimization priorities:

  1. Fix device with most traffic
  2. Fix device with worst conversion
  3. Test changes on actual devices

Device Trend Chart​

Over-Time Device Usage:

Stacked area chart showing device trends:

Shows:

  • Device usage over time
  • Shifting trends (desktop → mobile)
  • Seasonal variations
  • Long-term patterns

Insights:

  • Mobile-first vs desktop-first strategy
  • Responsive design importance
  • Future optimization priorities

8. Performance Analytics​

Note: Performance analytics are specifically for Quiz and Survey form types.

Quiz Performance Metrics​

For Quiz Forms Only:

Top Stats:

  • Average score
  • Pass rate (if passing score is set)
  • Highest score achieved
  • Lowest score
  • Number of perfect scores

Score Statistics:

  • Mean score
  • Median score
  • Standard deviation
  • Score range

Completion Metrics:

  • Average completion time
  • Fastest completion
  • Slowest completion
  • Pass/fail breakdown

Score Distribution​

Visual Score Analysis:

Histogram showing score distribution:

Shows:

  • Number of quiz-takers per score range
  • Bell curve overlay
  • Pass/fail threshold line (if set)
  • Percentile markers

Example distribution:

0-20%: 5 submissions (too easy/too hard?)
21-40%: 15 submissions
41-60%: 45 submissions (largest group)
61-80%: 30 submissions
81-100%: 15 submissions

Median: 62%
Average: 58%

Insights:

  • Normal distribution → Good quiz balance
  • Skewed left → Quiz too hard
  • Skewed right → Quiz too easy
  • Bimodal → Two distinct skill levels

Score Trend Over Time​

Performance Changes:

Line chart showing average scores over time:

Use cases:

  • Track learning progress (if repeated)
  • See if quiz effectiveness improves
  • Identify training impact
  • Monitor content updates

Example:

Month 1: 65% average
↓ Updated training materials
Month 2: 78% average
Result: +13% improvement

Leaderboard​

Top Performers:

Shows highest-scoring quiz takers:

Displays:

  • Rank (1st, 2nd, 3rd, etc.)
  • Name/username
  • Score percentage
  • Completion time
  • Date completed
  • Badge/achievement icons

Features:

  • Configurable limit (top 10, 20, 50)
  • Ties shown clearly
  • Perfect scores highlighted
  • Fastest completion time noted

Privacy:

  • Can be disabled in settings
  • Option to show anonymous rankings
  • User consent may be required

Survey Performance Metrics​

For Survey Forms Only:

Overview Stats:

  • Total responses
  • Average response rate per question
  • Most answered question
  • Least answered question
  • Average completion rate

Question Results​

Question-by-Question Analysis:

For each survey question shows:

  • Question text
  • Response count
  • Response rate
  • Skip rate
  • Answer distribution

For multiple choice:

  • Bar chart of options
  • Percentage per option
  • Top choice highlighted

For rating scales:

  • Average rating
  • Rating distribution
  • Net Promoter Score (if NPS question)

For open-ended:

  • Word cloud of common terms
  • Response count
  • Character count statistics

Response Trend​

Survey Responses Over Time:

Line chart showing response patterns:

Shows:

  • Responses per day/week/month
  • Trend line
  • Peak response periods
  • Cumulative responses

The Trends tab helps you understand patterns and predict future performance.

Growth Metrics​

Period-over-Period Comparison:

Shows:

  • Submissions this period
  • Submissions previous period
  • Growth rate (percentage change)
  • Growth direction (↑↓)

Periods available:

  • Day-over-day
  • Week-over-week
  • Month-over-month
  • Year-over-year

Example:

This Month: 450 submissions
Last Month: 380 submissions
Growth: +18.4% ↑

Comparative Period Analysis​

Historical Comparison:

Side-by-side comparison with:

Previous period

  • Same date range, earlier timeframe
  • Shows absolute difference
  • Shows percentage change

Same period last year

  • Year-over-year comparison
  • Seasonal adjustment
  • Long-term growth

Mini trend chart:

  • Sparkline visualization
  • Quick trend direction
  • At-a-glance comparison

Peak Periods Identification​

High and Low Activity:

Peak Period:

  • Date/time of highest activity
  • Submission count
  • Contributing factors (if known)

Low Period:

  • Date/time of lowest activity
  • Submission count
  • Potential reasons

Use cases:

  • Plan marketing campaigns
  • Schedule system maintenance
  • Optimize support staffing
  • Understand seasonal patterns

Historical Trend Chart​

Long-Term Pattern Analysis:

Interactive line/area chart showing:

Features:

  • Daily/weekly/monthly aggregation
  • Zoom and pan controls
  • Moving average trend line (7-day, 30-day)
  • Annotations for major events
  • Forecast projection (optional)

Display options:

  • Submissions count
  • Conversion rate
  • Completion time
  • Device breakdown overlay

Interactive:

  • Hover for exact values
  • Click to drill down to specific date
  • Toggle data series on/off
  • Export chart data

Forecast​

Predictive Analytics:

7-day forecast based on historical patterns:

Methodology:

  • Linear regression analysis
  • Moving average smoothing
  • Seasonal adjustment
  • Confidence intervals

Shows:

  • Predicted submissions per day
  • Confidence range (low/high estimates)
  • Trend direction
  • Accuracy indicator

Example:

Next 7 Days Forecast:
Day 1: 45 submissions (±5)
Day 2: 47 submissions (±5)
Day 3: 42 submissions (±6)
...
Total Week: 310 submissions (±25)

Use cases:

  • Resource planning
  • Budget forecasting
  • Setting realistic goals
  • Capacity planning

Limitations:

  • Requires sufficient historical data (30+ days)
  • Assumes patterns continue
  • External factors not included
  • Use as guide, not guarantee

10. Response Analytics​

The Responses tab analyzes actual answers and response patterns.

Response Overview Metrics​

Summary Statistics:

Total Responses

  • Count of all field responses
  • Across all submissions
  • Excludes skipped fields

Unique Answers

  • Number of distinct responses
  • Indicates response diversity
  • Shows answer variety

Average Response Length

  • Mean character count for text fields
  • Indicates response depth
  • Quality indicator

Most Common Answers

  • Frequently given responses
  • Popular choices
  • Pattern identification

Response Distribution Table​

Expandable Field-by-Field View:

Main table shows:

  • Field name
  • Total responses
  • Unique answers count
  • Most common answer
  • Diversity score

Click to expand:

  • Complete answer breakdown
  • Count per answer
  • Percentage distribution
  • Visual bar chart

Example:

Field: "How did you hear about us?"

Social Media: 245 (35%)
Search Engine: 189 (27%)
Friend Referral: 154 (22%)
Advertisement: 98 (14%)
Other: 14 (2%)

Export options:

  • Download full response list
  • Export to CSV/Excel
  • Copy to clipboard

Most Diverse Fields​

High Answer Variety:

Shows fields with the most unique responses:

Indicates:

  • Open-ended questions working well
  • Creative user responses
  • Good data richness
  • Authentic engagement

Typical diverse fields:

  • Text areas (comments, feedback)
  • Open-ended questions
  • "Other" option fields

Use insights:

  • Mine for common themes
  • Create new dropdown options
  • Understand user needs
  • Improve categorization

Least Diverse Fields​

Consistent Responses:

Shows fields with limited unique answers:

Can indicate:

  • Good: Clear, specific questions
  • Good: Binary choices (Yes/No)
  • Good: Effective dropdown options
  • Bad: Limited options when more needed
  • Bad: Confusing questions (everyone skips)

Action items:

  • If intentionally limited → No action needed
  • If unexpected → Review question design
  • Consider adding more options
  • May indicate need for open-ended alternative

Top Answers Chart​

Visual Response Popularity:

Horizontal bar chart showing:

Features:

  • Top 20 most common answers
  • Across all fields or specific field
  • Count and percentage
  • Color-coded by frequency

Interactive:

  • Click bar to see submissions
  • Filter by field
  • Export data
  • Sort by count or alphabetically

Response Rate Distribution​

Field Response Performance:

Pie chart showing:

Segments:

  • Fields with 90-100% response rate (Excellent)
  • Fields with 70-89% response rate (Good)
  • Fields with 50-69% response rate (Fair)
  • Fields with < 50% response rate (Poor)

Insights:

  • Overall form engagement health
  • Field optimization priorities
  • Required vs optional field balance

11. AI-Powered Insights​

Note: Requires AI Core integration and credits.

The AI Insights tab provides advanced analysis powered by artificial intelligence.

Getting Started with AI Insights​

Prerequisites:

  • AI Core component installed
  • Active API key configured
  • Sufficient credits available
  • Text-based fields with responses

Analyzable Fields:

  • Text areas (comments, feedback)
  • Text inputs (suggestions, reasons)
  • Any field with open-ended text

Credit Costs:

  • Per analysis run
  • Based on response count
  • Varies by AI model used

AI Analysis Trigger​

Starting an Analysis:

  1. Select a field from dropdown

    • Shows only text-based fields
    • Displays response count
    • Indicates if previously analyzed

  2. Click "Analyze Responses" button

    • Confirm credit usage
    • Shows estimated cost
    • Displays expected wait time

  3. Wait for processing

    • Progress indicator shown
    • Typical wait: 30-90 seconds
    • Can navigate away (runs in background)

  4. View results

    • Automatic page update
    • Save to history
    • Export options

Sentiment Analysis​

Emotional Tone Detection:

AI categorizes each response as:

Positive 😊

  • Happy, satisfied, enthusiastic responses
  • Praise and compliments
  • Excited, grateful feedback
  • Green indicator

Neutral 😐

  • Factual, informative responses
  • Neither positive nor negative
  • Objective statements
  • Gray indicator

Negative 😞

  • Complaints, criticism, frustration
  • Unhappy, disappointed responses
  • Concerns and problems
  • Red indicator

Visual Display:

  • Percentage breakdown
  • Response count per category
  • Progress bars color-coded
  • Trend over time (if historical data)

Example:

Sentiment Breakdown:
Positive: 245 responses (67%)
Neutral: 89 responses (24%)
Negative: 34 responses (9%)

Overall Sentiment: POSITIVE ✅

Use cases:

  • Customer satisfaction monitoring
  • Product feedback analysis
  • Event feedback evaluation
  • Support quality assessment

Theme Extraction​

Automatic Topic Discovery:

AI identifies main themes and topics:

Shows:

  • Top 5-10 themes found
  • Response count per theme
  • Percentage distribution
  • Example responses for each theme

Example themes:

1. Pricing Concerns (89 responses - 24%)
   "too expensive", "cost", "pricing high"

2. Ease of Use (76 responses - 21%)
   "simple", "easy to use", "intuitive"

3. Customer Support (54 responses - 15%)
   "helpful support", "quick response"

4. Feature Requests (43 responses - 12%)
   "would like", "missing feature", "add option"

5. Performance (38 responses - 10%)
   "slow", "loading time", "speed"

Actions:

  • Address common concerns (pricing, performance)
  • Prioritize feature requests
  • Celebrate positive themes
  • Plan improvements

Auto-Categorization​

Smart Response Grouping:

AI automatically groups similar responses:

Creates categories like:

  • Product Quality
  • Shipping/Delivery
  • Customer Service
  • Website Experience
  • Pricing
  • Features
  • Other

Shows:

  • Category name
  • Response count
  • Percentage
  • Subcategories
  • Example responses

Benefits:

  • Quick overview of feedback areas
  • No manual categorization needed
  • Consistent categorization
  • Easy reporting

Key Phrase Extraction​

Important Term Identification:

AI extracts most significant phrases:

Displays:

  • Top phrases/keywords
  • Frequency count
  • Context snippets
  • Related terms

Visual:

  • Word cloud (optional)
  • Sized by frequency
  • Color-coded by sentiment
  • Interactive (click to see responses)

Example:

Top Key Phrases:
1. "customer support" (45 mentions)
2. "easy to use" (38 mentions)
3. "great value" (32 mentions)
4. "would recommend" (29 mentions)
5. "missing features" (21 mentions)

Use for:

  • Marketing copy inspiration
  • Understanding customer language
  • Identifying pain points
  • Finding success stories

AI Summary​

Executive Summary Generation:

AI creates human-readable summary:

Includes:

  • Overall sentiment
  • Main themes identified
  • Key takeaways (3-5 points)
  • Recommended actions
  • Notable quotes

Example Summary:

Summary of 365 Responses:

Overall Sentiment: Positive (67% positive responses)

Main Themes:
1. Users appreciate ease of use and intuitive interface
2. Pricing is a concern for small business customers
3. Customer support receives consistently positive feedback
4. Several users request mobile app functionality

Key Takeaways:
• Maintain focus on user experience - it's a key differentiator
• Consider tiered pricing for different business sizes
• Support team is a major strength - highlight in marketing
• Mobile app is most requested feature

Recommended Actions:
1. Develop mobile app or responsive mobile interface
2. Create small business pricing tier
3. Feature customer support in marketing materials
4. Continue investing in UX improvements

Analysis History​

Past Analysis Sessions:

View previous analyses:

  • Date of analysis
  • Field analyzed
  • Response count
  • Credits used
  • View/compare results

Features:

  • Re-run analysis to see changes
  • Compare time periods
  • Track sentiment trends
  • Export historical data

Comparison View​

Before/After Analysis:

Compare two analysis sessions:

Shows:

  • Sentiment shifts
  • Theme changes
  • New topics emerging
  • Improvement tracking

Use cases:

  • Measure campaign impact
  • Track product improvements
  • Monitor satisfaction changes
  • Validate feature releases

12. Exporting and Sharing Reports​

Export Options​

Available Export Formats:

PDF Reports

  • Professional formatted report
  • Includes all analytics sections
  • Charts and graphs embedded
  • Cover page with date range
  • Suitable for presentations

CSV/Excel

  • Raw data export
  • All metrics in spreadsheet
  • Easy to analyze in Excel
  • Import into other tools
  • Good for custom analysis

JSON

  • For developers/integrations
  • Complete data structure
  • API-friendly format
  • Automation-ready

Scheduled Reports​

Automatic Report Delivery:

Set up email reports:

  1. Choose frequency (daily/weekly/monthly)
  2. Select recipients
  3. Pick analytics sections to include
  4. Set delivery time
  5. Activate schedule

Example schedule:

Report: Weekly Form Performance
Frequency: Every Monday at 9 AM
Recipients: manager@example.com, team@example.com
Sections: Overview, Conversion, Trends
Format: PDF attached

Sharing Dashboards​

Share Live Analytics:

Generate shareable link:

  • Read-only access
  • No login required (optional)
  • Set expiration date
  • Password protection (optional)
  • Specific sections only

Privacy controls:

  • Hide sensitive data
  • Anonymize respondent info
  • Aggregate only (no individual responses)
  • Watermark with "Confidential"

Custom Reports​

Build Your Own:

Report Builder:

  1. Select metrics to include
  2. Choose date range
  3. Add charts/visualizations
  4. Customize layout
  5. Save as template
  6. Export or schedule

13. Best Practices​

1. Check Analytics Regularly​

Recommended frequency:

  • Daily: High-traffic forms, active campaigns
  • Weekly: Most business forms
  • Monthly: Low-traffic forms, seasonal forms

What to monitor:

  • Conversion rate changes
  • Submission trends
  • Problem fields
  • Device performance

2. Set Benchmark Goals​

Example goals:

Conversion Rate: 45% (industry average: 35%)
Completion Time: < 3 minutes
Mobile Conversion: 35% (desktop: 50%)
Field Response Rate: > 90% for all required fields

Track progress:

  • Weekly/monthly goal review
  • Celebrate improvements
  • Identify declining metrics
  • Adjust goals as needed

3. Act on Insights​

Don't just collect data - use it:

High abandonment? → Reduce form length, improve UX

Low mobile conversion? → Optimize mobile layout, test on devices

Problem fields identified? → Clarify labels, add help text, simplify

Peak hours discovered? → Schedule emails, plan support coverage

4. A/B Test Changes​

Before making changes:

  1. Note current metrics
  2. Make one change at a time
  3. Wait for significant data (100+ submissions)
  4. Compare before/after
  5. Keep what works, revert what doesn't

5. Segment Your Analysis​

Analyze different groups:

  • New vs returning visitors
  • Desktop vs mobile users
  • Different traffic sources
  • Geographic regions
  • Time periods

Example:

Desktop Users:
Conversion: 55%
Avg Time: 2:30

Mobile Users:
Conversion: 32%
Avg Time: 4:15

Action: Optimize mobile experience

6. Combine with External Analytics​

Use alongside:

  • Google Analytics (traffic sources)
  • Heatmaps (user behavior)
  • Session recordings (UX issues)
  • A/B testing tools (variants)

Cross-reference data:

  • Form analytics: What happens in the form
  • GA: How users get to the form
  • Heatmaps: Where users click/struggle
  • Recordings: Why users abandon

7. Privacy and Compliance​

Respect user privacy:

  • Anonymize data when sharing
  • Follow GDPR/privacy regulations
  • Don't export personal info unnecessarily
  • Use aggregated data for analysis

Compliance:

  • Get consent for tracking (if required)
  • Provide opt-out mechanisms
  • Secure analytics data
  • Regular data retention review

8. Document Changes​

Keep an analytics journal:

Date: Jan 15, 2024
Change: Reduced form from 12 to 8 fields
Before: 42% conversion
After: 58% conversion
Result: +16% improvement ✅
Keep: Yes

Benefits:

  • Learn what works
  • Don't repeat mistakes
  • Share knowledge with team
  • Build optimization playbook

14. Troubleshooting​

No Data Showing​

Possible causes:

1. Date range too narrow

  • Solution: Expand date range to "Last 30 days" or "All time"

2. Form recently created

  • Solution: Wait for submissions to accumulate

3. Form not published

  • Solution: Check form status, publish if needed

4. Tracking not enabled

  • Solution: Verify analytics settings in form configuration

5. Browser cache issue

  • Solution: Hard refresh (Ctrl+Shift+R) or clear cache

Incorrect Metrics​

Data seems wrong:

1. Multiple form versions

  • Check if viewing correct form
  • Ensure date range matches expectations

2. Test submissions included

  • Filter out test users
  • Delete test submissions

3. Timezone differences

  • Check admin timezone settings
  • Verify server time configuration

4. Cache delay

  • Analytics may cache for performance
  • Wait 5-10 minutes for fresh data
  • Use "Refresh" button

Slow Loading​

Analytics page loads slowly:

1. Large dataset

  • Reduce date range
  • Use pagination
  • Export for offline analysis

2. Too many concurrent users

  • Wait and retry
  • Schedule reports instead
  • Use off-peak hours

3. Server resources

  • Contact hosting provider
  • Upgrade server plan
  • Enable caching

Export Issues​

Can't export data:

1. Browser blocking download

  • Allow pop-ups from domain
  • Check download folder
  • Try different browser

2. File too large

  • Reduce date range
  • Export in segments
  • Use CSV instead of PDF

3. Permission issues

  • Verify user permissions
  • Check admin role
  • Contact administrator

AI Insights Not Working​

AI analysis fails:

1. No credits

  • Check credit balance
  • Purchase more credits
  • Configure credit limits

2. Field type not supported

  • Only text fields supported
  • Select different field
  • Ensure sufficient responses

3. API connection issue

  • Check AI Core configuration
  • Verify API key
  • Test connection

4. Insufficient responses

  • Need minimum 10-20 text responses
  • Wait for more submissions
  • Combine multiple form runs

Missing Features​

Feature not visible:

1. Form type limitation

  • Some features only for quizzes/surveys
  • Check form type
  • Create new form if needed

2. Version outdated

  • Update EasyForms to latest version
  • Check changelog for features
  • Clear cache after update

3. Permission restricted

  • Verify user role
  • Check ACL settings
  • Contact administrator

Getting Help​

Need more assistance?

  1. Documentation - Search other guides
  2. Support Ticket - Describe issue with screenshots
  3. Community Forum - Ask other users
  4. Video Tutorials - Watch how-to videos

When contacting support:

  • Joomla version
  • EasyForms version
  • Form ID
  • Screenshot of issue
  • Steps to reproduce

Need help interpreting your data? Contact support or check our Troubleshooting Guide.

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