# View Survey Responses (/how-to/surveys/view-survey-responses)



After customers submit surveys, their responses appear in the dashboard where you can review individual submissions and view aggregate analytics.

When to use this [#when-to-use-this]

* You want to read what a specific customer said about their experience.
* You need to monitor overall satisfaction trends (average ratings, submission volume).
* You are investigating feedback related to a specific booking.
* You want to compare response rates across different questions.

Viewing individual submissions [#viewing-individual-submissions]

1\. Navigate to survey submissions [#1-navigate-to-survey-submissions]

Go to **Marketing > Surveys**, then click on the survey whose responses you want to view. Select the **Submissions** tab.

2\. Browse responses [#2-browse-responses]

Submissions are displayed in reverse chronological order (newest first) and include the following columns:

| Column             | Description                                                                                                                        |
| ------------------ | ---------------------------------------------------------------------------------------------------------------------------------- |
| **Customer Name**  | The respondent's name, pulled from the linked customer profile or from the name they entered when submitting.                      |
| **Customer Email** | The respondent's email address.                                                                                                    |
| **Booking Code**   | The confirmation code of the linked booking, if the survey was sent via the automated workflow. Click to navigate to that booking. |
| **Overall Rating** | The star rating from the first `star_rating` question in the survey. Displayed as stars for quick scanning.                        |
| **Submitted At**   | The date and time the survey was submitted.                                                                                        |
| **Responses**      | The full JSON of all question responses. Expand to see individual answers.                                                         |

3\. Paginate through results [#3-paginate-through-results]

Submissions are paginated with 25 results per page. Use the page controls at the bottom to navigate through older responses.

Viewing analytics [#viewing-analytics]

1\. Open the analytics tab [#1-open-the-analytics-tab]

From the survey detail page, select the **Analytics** tab. The analytics dashboard provides aggregate metrics for the selected survey.

2\. Understand the metrics [#2-understand-the-metrics]

Summary metrics [#summary-metrics]

| Metric                       | Description                                                                                                                                               |
| ---------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **Total Submissions**        | The total number of completed survey responses for this survey.                                                                                           |
| **Average Overall Rating**   | The mean of all overall rating values (from the first `star_rating` question), rounded to 2 decimal places. Only includes submissions that have a rating. |
| **Submissions Last 7 Days**  | Number of submissions received in the past week.                                                                                                          |
| **Submissions Last 30 Days** | Number of submissions received in the past month.                                                                                                         |

Rating distribution [#rating-distribution]

A breakdown of how many submissions received each star rating (1 through 5). Use this to spot patterns:

| Stars | Meaning                                                      |
| ----- | ------------------------------------------------------------ |
| 5     | Excellent -- customers are highly satisfied.                 |
| 4     | Good -- generally positive with minor areas for improvement. |
| 3     | Average -- there may be issues worth investigating.          |
| 2     | Below average -- look for common themes in text responses.   |
| 1     | Poor -- immediate attention recommended.                     |

Per-question analytics [#per-question-analytics]

For each question in the survey, the analytics dashboard shows:

| Field              | Description                                                                                                                                      |
| ------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------ |
| **Question**       | The question text.                                                                                                                               |
| **Type**           | The question type (star rating, text, etc.).                                                                                                     |
| **Response Count** | How many submissions included an answer to this question (non-empty responses only). Compare this to total submissions to see the response rate. |
| **Average Rating** | For `star_rating` questions only: the mean rating across all responses. Other question types do not have an average.                             |

Submissions in the CRM [#submissions-in-the-crm]

Survey submissions are also accessible from the customer profile in the CRM. When viewing a customer, you can see all surveys they have submitted across all bookings, providing a complete feedback history for that individual.

Tips [#tips]

* Check analytics weekly to catch satisfaction trends early. A sudden drop in average rating might indicate a new operational issue.
* Compare the "Response Count" per question against "Total Submissions" to identify which optional questions customers skip most. Consider making important questions required, or rewording skipped questions.
* Use the rating distribution to identify whether a low average comes from many mediocre ratings or a few very poor ones. The two scenarios require different responses.
* Look at text responses from customers who gave 1-2 star ratings first. These contain the most actionable feedback.
* The "Submissions Last 7 Days" vs "Submissions Last 30 Days" comparison gives a quick pulse on whether response volume is increasing or decreasing.

Related guides [#related-guides]

* [Create a Survey](/how-to/surveys/create-a-survey) -- adjust questions based on what the analytics reveal.
* [Configure Survey Settings](/how-to/surveys/configure-survey-settings) -- change timing or email content to improve response rates.
* [Customers & CRM](/how-to/customers) -- view a customer's full feedback history.
