# Survey results overview

<figure><img src="https://1869453691-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FKZSI4tjvEoDHpPaoQ700%2Fuploads%2FUBPKLaChd3581oVbJPN3%2Fimage.png?alt=media&#x26;token=44c85448-4f82-4bd9-b136-b1e9e892280e" alt=""><figcaption><p>Survey result overview</p></figcaption></figure>

Understanding how customers interact with your survey is crucial for optimizing your feedback collection strategy. Our overview section highlights two essential metrics: **your overall survey conversion rate** and **detailed answer rates for each question.**&#x20;

These metrics not only show how engaging your survey is but also help you identify which questions might need adjustment to gather more comprehensive feedback. By analysing these patterns, you can refine your survey design to maximize response rates while ensuring you collect the most valuable customer insights.

### Survey conversion rate

The conversion rate indicates how many customers complete your survey compared to how many times it's displayed.&#x20;

<figure><img src="https://1869453691-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FKZSI4tjvEoDHpPaoQ700%2Fuploads%2FbSTJfeoL6wbnsAmhvAGy%2Fimage.png?alt=media&#x26;token=9547135e-9a92-4ce3-a94d-fce43be5fcdf" alt="" width="563"><figcaption><p>Conversion rate</p></figcaption></figure>

> <mark style="color:blue;">**`Conversion rate`**</mark> <mark style="color:blue;"></mark><mark style="color:blue;">(%) = (</mark><mark style="color:blue;">**`Number of responses submitted`**</mark><mark style="color:blue;">/</mark><mark style="color:blue;">**`Number of survey displays`**</mark><mark style="color:blue;">)\*100</mark>

A higher rate suggests your survey effectively engages customers, while a lower rate might signal a need for adjustments.

Typical factors affecting conversion rate include:

* Survey length and complexity
* Survey placement
* Incentives offered
* Question design

**Recommendation:** Aim for a conversion rate of at least <mark style="color:blue;">10%</mark>. If your rate is lower, consider shortening your survey, adjusting its placement, or offering incentives like discount codes for completion.

### Answer rate per question

Our bar chart visualization shows the answer rate for each question in your survey, helping you understand which questions resonate with customers and which ones they tend to skip.

<figure><img src="https://1869453691-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FKZSI4tjvEoDHpPaoQ700%2Fuploads%2FqMDli36P2cBSI0zL0Qys%2Fimage.png?alt=media&#x26;token=ee6ccc70-5608-468f-b42b-57e06df45e34" alt=""><figcaption><p>Answer rate per question</p></figcaption></figure>

**Key insights from answer rates:**

* Questions with high answer rates often indicate topics customers care about
* Lower rates might suggest questions that are:
  * Too complex or unclear
  * Too personal or sensitive
  * Less relevant to customers
  * Positioned too late in the survey

**Recommendation:** Monitor questions with answer rates significantly lower than others. Consider rewording them, making them optional, or moving them earlier in the survey if they're essential to your research.

Notice a steep drop in answers after a specific question? This might be your survey's "abandonment point" – consider reorganizing your questions to keep engagement high throughout the survey.

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**Pro tip:** Compare answer rates between different customer segments using our filtering options to understand how different audiences engage with your questions.
{% endhint %}

Now that you understand how to track your survey's overall performance through conversion and answer rates, let's explore the specific analytics for each question type. In the next sections, we'll break down how to interpret data from multiple choice questions, rating scales, short answer questions, and more – helping you extract valuable insights from every type of customer feedback.