Comments Page

Overview

The Comments section in the Reports module allows you to view and analyze all open-ended responses submitted by survey respondents. This helps in understanding customer sentiment, identifying patterns, and gathering actionable feedback.

This section provides both a high-level summary and individual response details.

Comment Summary

At the top of the page, you will see an overall summary of responses:

Sentiment Breakdown

• Promoters – Positive feedback from satisfied users
• Passives – Neutral responses
• Detractors – Negative feedback indicating dissatisfaction

Total Records

• Displays the total number of responses received for the selected question

This summary helps you quickly assess overall customer sentiment.

Selecting a Question

You can view comments for specific survey questions.

How to Select a Question

1. Click on the question dropdown at the top of the Comments section
2. Choose the desired question (e.g., experience, improvement suggestions)
3. The comments list will update automatically

Notes

• Only open-ended questions will display comments
• Switching the question refreshes both the summary and responses

Filtering Comments

Filters allow you to refine and segment the displayed responses.

How to Apply Filters

1. Click on Add filters
2. Select a filter category:
   • Contact Properties (e.g., Name, Email, Region)
   • Questions
   • Metadata
3. Choose the desired field and condition
4. Apply the filter

Filter Capabilities

• Narrow down responses by user attributes
• Analyze feedback based on survey answers
• Segment data for deeper insights

Viewing Individual Comments

Each response in the list includes the following details:

Score Indicator

• Displayed as a colored circle:
  • Green – Positive (Promoter)
  • Yellow – Neutral (Passive)
  • Red – Negative (Detractor)

Response Details

• Comment text
• Respondent name (or Anonymous)
• Submission time

Key Use Cases

• Identify common customer issues or complaints
• Understand what users like about your product/service
• Track sentiment trends over time
• Analyze feedback for specific segments using filters