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A Matrix Open Text question allows respondents to write separate text answers for different rows in the same question. In the Analysis section, Enquete gives you a structured interface to review these responses more easily, so you can analyse comments by row, search for specific feedback, and switch between different text analysis views.
In the example shown, respondents were asked to provide additional comments or suggestions for different areas. The analysis layout is designed to help you review all submitted comments in one place while still being able to focus on a specific row when needed.
At the top right of the panel, Enquete provides four tabs:
Responses
Words
Sentiment
Stats
Use Responses to read the individual comments exactly as respondents submitted them.
Use Words to identify repeated words or common terms across the answers.
Use Sentiment to review the emotional tone of the responses.
Use Stats to view numerical insights about the text responses.
These tabs help you analyse the same question from different angles without leaving the page.
Below the title, you will see a Filter by Row dropdown.
This allows you to analyse:
all rows together, or
one specific row at a time
This is especially useful in Matrix Open Text questions because each row may represent a different topic. Filtering by row helps you focus only on the comments that belong to that area.
For example, you can isolate responses for Treatment effectiveness or Patient support instead of reviewing all comments mixed together.
Below the row filter, Enquete provides a search field.
Use this search bar to find specific words, phrases, or repeated issues inside the responses. This makes it easier to locate feedback about a particular concern without manually reading every comment again.
This is helpful when you want to quickly find mentions of a topic such as support, doctors, waiting time, or communication.
In the Responses tab, comments are displayed in a scrollable list.
Each entry includes:
the row label shown as a tag, such as Treatment effectiveness or Patient support
the response text
the date and time of submission
This layout makes it easier to understand which comment belongs to which row. Since Matrix Open Text questions collect answers for multiple areas, these row labels are very important for accurate analysis.
In the example, you can immediately see that some comments relate to Treatment effectiveness, while others relate to Patient support. This helps you separate themes naturally as you review the feedback.
To interpret Matrix Open Text results, start by reviewing responses row by row rather than treating all answers as one single group.
First, identify what respondents are saying about each specific row. Then look for repeated themes, common complaints, suggestions, or positive observations within that row.
After that, compare the rows. This helps you see whether one area receives more criticism, more detailed feedback, or more repeated concerns than another.
For example, if several comments under Patient support mention lack of support, that indicates a pattern for that row. If comments under Treatment effectiveness focus on treatment quality or doctor behaviour, that points to a different issue area.
The Words, Sentiment, and Stats tabs can help confirm these patterns by showing repeated language, emotional tone, and response metrics.
When analysing a Matrix Open Text question, pay attention to:
which row each comment belongs to
repeated themes within the same row
whether certain rows receive more critical or more detailed feedback
keywords that appear often in the search or word analysis
sentiment differences between rows
whether some rows are skipped more often than others
This helps you understand not only what respondents said, but also where the feedback is concentrated and which area may need the most attention.
