✨ Survey Insights — Features and Overview
Lucidya offers a comprehensive suite of insights and reporting features:
📊 How to Access the Insights Page for Your Published Survey
To access the insights page for your published survey, follow these steps:
Click on
SurveyProduct from the Lucidya navigation bar.Select the survey you want to view insights for.
Click directly on the survey or select the
📊 Insightsicon.You will now see the insights page for your selected survey.
📑 Understanding the Insights Page and Its Sections
💡Tip
The insights page dynamically adapts based on the question types in your survey. Below you can explore the complete insights sections for all question types supported by the Lucidya Survey Product.
💡Overview Section
The overview section provides high-level insights for your published survey, covering total responses, views, net sentiment, completion rate, and average time to complete your survey. This information helps you track and understand key performance metrics at a glance.
This section provides an overview & summary data for your survey, including the following insights:
Responses Number: Total number of users who answered and submitted your survey.
Views Number: Total number of users who opened or viewed your survey.
Net Sentiment: Overall sentiment (
😃 Positive,😐 Neutral, or☹️ Negative) for the free text answers.Completion Rate (%): Total number of responses divided by the number of views × 100.
Avg. Time To Complete (Min | Sec): The average time taken from opening the survey until submitting it.
➗ Metrics Section
Under this section, you'll find the most important AI-powered analytics and metrics for your survey, including:
Completion Rate Per Question
Free-Text Responses’ Sentiment Analysis
Dialects & Sub-dialects
Associated Topics
Themes & Category
Themes & Category Trend
Net Promoter Score (NPS®)
Customer Satisfaction Score (CSAT®)
📊 Completion Rate Per Question
✨ Tip
This is a column chart that displays the completion rate (%) for each question in your survey and includes all question types.
How it works:
It's calculated by dividing the number of people who completed each question by the total number of visitors (including those who didn't answer), then multiplying by 100. This visualization helps you identify which questions have higher or lower completion rates.
😃 Free-Text Answers Sentiment Analysis
✨ Tip
This is a Linear/ Logarithmic graph that provides sentiment analysis (feelings) for free text responses using advanced Lucidya AI models. This graph will display data only when there are free text question types on your survey and they have been answered by your audience.
How it works:
This graph uses advanced Lucidya AI models to analyze sentiment (feelings) in free text responses from your survey. It covers the following emotions:
😃 Positive Rate (%): Indicates respondents expressing approval, satisfaction, or favorable opinions.
😐 Neutral Rate (%): Represents balanced, impartial, or neither positive nor negative responses.
☹️ Negative Rate (%): Shows dissatisfaction, criticism, or unfavorable feedback from respondents.
🗣️ Dialects & Sub-dialects (especially 🇸🇦 Arabic dialects)
✨ Tip
This column chart will only display data when your survey includes free text question types that have been answered by respondents.
How it works:
This chart provides the number of free text responses by dialects & sub-dialects, including Modern Standard Arabic (MSA), Modern Arabic, Saudi, Egyptian, Kuwaiti , and other Arabic dialects that Lucidya's AI can detect and analyze.
🔤 Associated Topics
✨ Tip
This circular chart only displays data when free text question types in your survey have been answered by respondents.
How it works:
This chart displays the distribution of free text responses across ten domains:
Politics
Technology
Food & drinks
Finance & business
Entertainment
Fitness
Health
Beauty
Shopping & fashion
Other
The domain classification is determined by our AI model. Note that a single response may be classified into multiple domains, which is why the total number of domains might exceed the total number of responses collected.
🏷️ Themes & Categories
✨ Tip
This column chart only displays data when your survey contains free text question types that have been answered by respondents. You can add your customized themes in the Themes section: https://cxm.lucidya.com/themes
How it works:
This graph analyzes free text responses and categorizes them into key themes (🟩 Compliment, 🟥 Complaint, 🟨 Other) in a column chart format. It helps you identify common topics and concerns without reading through each individual response. The themes are configurable to match your preferences and can be added under "Themes" from Lucidya Settings, allowing you to understand what matters most to your audience efficiently.
📈 Themes & Categories Trend
✨ Tip
This column chart only displays data when your survey contains free text question types that have been answered by respondents.
How it works:
This feature displays how 🟩 Compliments, 🟥 Complaints,🟦 Questions, and 🟨 Other categorized feedbackchange over the survey period. It helps you identify patterns in customer sentiment and track emerging concerns.
⭐ Net Promoter Score (NPS®)
✨ Tip
This circular chart will only display data when your survey includes one Net Promoter Score (NPS®) question type that has been answered by respondents.
How it works:
Net Promoter Score (NPS®) measures customer loyalty by asking: "How likely are you to recommend our product/service to others?" on a scale of 0-10.
Respondents fall into three categories:
🟩 Promoters (9-10): Loyal enthusiasts likely to recommend your product.
🟨 Passives (7-8): Satisfied but unenthusiastic customers.
🟥 Detractors (0-6): Unhappy customers who may spread negative word-of-mouth.
Lucidya calculates NPS by subtracting the percentage of Detractors from the percentage of Promoters: NPS = % Promoters - % Detractors
😊 Customer Satisfaction Score (CSAT®)
✨ Tip
This circular chart will only display data when your survey includes one Customer Satisfaction Score (CSAT®) question type on your survey and it has been answered by your audience.
How it works:
This score represents the average customer satisfaction rating across all CSAT questions in this survey. We calculate the CSAT Score (%) by dividing the sum of all positive ratings by the total number of responses, then multiplying by 100.
ℹ️ Responses Details
This section is available for any survey and provides geographic & technical response data to help you understand the geographic distribution of your submitted audience.
📍 Geographic Response Details (Cities & Countries)
Cities Circle Chart: This provides the number of responses distributed across cities where submissions originated. Note: The sum of all cities may be less than the total number of responses, as not all responses can be tagged with a specific city.
Countries Circle Chart: This displays the distribution of responses across different countries where submissions originated. Note: The total number of country-tagged responses may be less than the overall response count, as some submissions cannot be associated with a specific country.
💻 Technical Response Data (Browsers/Operating Systems)
This section provides circular chart visualizations of the technical aspects of survey responses, including:
Browser Distribution: Shows the percentage of responses submitted from different web browsers (Chrome, Safari, Firefox, etc.)
Operating System Usage: Displays the distribution of responses across various operating systems (Windows, macOS, iOS, Android, etc.)
This data helps you understand the technical environment of your respondents, which can be valuable for optimizing future surveys and digital experiences.
❓ Questions Statistics
This section provides you with comprehensive data and responses for all questions answered by your audience.
It contains 3 tabs:
Summary tab: Provides you with grouped responses for each question, including charts & charts for Dropdown, Yes/No, Multiple Choice, NPS®, CSAT®, and Scale "Rate" question types.
Questions tab: Allows you to select a specific question from a dropdown menu containing all your survey questions to view all responses for that selected question.
Individual tab: Displays a list of individual responses from each person who completed the survey.
⁉️ FAQs
📤 Can I export my survey insights data?
📤 Can I export my survey insights data?
Yes, you can export your survey insights data in two ways:
Export all data as an Excel file.
Export any section's chart or graph as a PDF or PNG file.
⏳ Can I apply filters for my survey insights data?
⏳ Can I apply filters for my survey insights data?
Yes, you can apply date filter on the survey insights page in two ways:
Apply date filter for the entire insights page.
Apply date filter for individual charts or graphs.
🔂 How often are insights updated?
🔂 How often are insights updated?
The survey insights are updated in real-time as new responses come in. You'll see the latest data each time you view the insights page.
🌐 Can I share my survey insights with team members?
🌐 Can I share my survey insights with team members?
Yes, you can share your survey insights with team members by:
Inviting them to your Lucidya workspace with appropriate permissions
Exporting reports as PDFs or Excel files to share externally
📈 What's the minimum number of responses needed for meaningful insights?
📈 What's the minimum number of responses needed for meaningful insights?
While you can view insights with any number of responses, we recommend collecting at least 30 responses for statistically significant results, especially for sentiment analysis and theme categorization features.
🇸🇦 How accurate is the sentiment analysis for different languages?
🇸🇦 How accurate is the sentiment analysis for different languages?
Lucidya's sentiment analysis is highly accurate for 🇸🇦 Arabic (including various dialects) and 🇺🇸 English. For other languages, accuracy may vary. Our AI models are continuously trained to improve accuracy across all supported languages.