Analyse Open Text Question Responses

An Open Text question allows respondents to answer in their own words. In the Analysis section, Enquete helps you review these responses by showing the submitted answers, response statistics, sentiment overview, and extra analysis views.

In the example shown, respondents were asked which symptoms they experienced before starting the treatment. The analysis view helps you understand not only what people wrote, but also how much they wrote and the overall pattern in the responses.

Step 1: Review the Responses view

The Responses tab shows the individual answers submitted by respondents. Each response appears in a list and includes:

• the response label

• the response text

• the detected sentiment

• the word count and character count

This view is useful when you want to read responses one by one and understand exactly what people said.

At the top of this section, you will also see summary cards such as:

• Total Responses

• Avg Length

• Fill Rate

• Total Words

These give you a quick overview of response volume and response quality.

Step 2: Use Word Analysis and Statistics

At the top right, Enquete provides three tabs:

• Responses

• Word Analysis

• Statistics

Use Responses to read individual answers.

Use Word Analysis to identify the words or terms that appear most often in the responses. This helps you quickly spot repeated topics or common phrases.

Use Statistics to review numerical insights about the responses, such as response counts and text-related metrics.

These tabs help you analyse open text answers from different angles without leaving the question view.

Step 3: Review sentiment and filters

Below the summary cards, Enquete shows a sentiment overview with:

• Positive

• Neutral

• Negative

This helps you quickly understand the emotional tone of the responses.

In this example, all responses are marked as Neutral, which means the answers are mainly descriptive rather than emotional.

You can also use the filters above the response list to narrow the results:

• the search box helps you find specific words or phrases

• the length filter helps you focus on shorter or longer answers

• the sentiment filter helps you view only positive, neutral, or negative responses

Step 4: Use the Export button

At the top right of the analysis panel, you will see the Export button.

Use this option when you want to download the open text analysis for reporting, sharing, or further review outside the platform.

How to interprete open text results

To interpret Open Text results, start by reading through the individual responses and looking for repeated ideas, terms, or themes.

Then review the summary data. The Total Responses shows how many people answered the question, while Fill Rate helps you understand how many respondents actually provided an answer. Avg Length and Total Words help you judge how detailed the responses are.

The sentiment section gives extra context by showing whether the responses are mainly positive, neutral, or negative. This can help you quickly detect tone, especially when you have many responses to review.

In this example, the responses are short and mostly factual, with repeated mentions of symptoms such as head pain and no symptoms. Since all responses are neutral, the answers appear descriptive rather than emotional.

What to pay attention to

When analysing an Open Text question, pay attention to:

• repeated words, symptoms, ideas, or phrases

• whether responses are short or detailed

• the fill rate, especially if many respondents skipped the question

• the overall sentiment pattern

• unusual or important responses that may need closer review

This helps you move beyond reading individual comments and start identifying patterns across all responses.