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An open-ended question is not read like a closed question: the answers are free text, the verbatims. The platform lets you explore them, summarize them and code them to make them usable.

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Exploring the verbatims

Two ways in to browse the answers without coding anything:
  • Word cloud: click a word to display all the verbatims that mention it.
  • Search bar: type a term to select all the verbatims that contain it.

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Generating an automatic summary

The lightbulb icon generates an AI summary of the question. It draws on the background and objectives entered when the questionnaire was programmed.
The more precise the survey’s background and objectives, the more relevant the summary. It is the same principle as a good prompt.

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Coding an open-ended question

Coding turns the verbatims into codes: categories you can count and cross.

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From a code frame

1

Open Coding

Go to the Coding tab of the question.
2

Define the codes

Three ways to define the codes: start from the items of another question (e.g. an awareness list), enter a list of labels, or reuse an existing code frame. Give your code frame a name, then confirm.For an open-ended question about brands, preferably start from the items of another question (your awareness list): the labels are already there.
3

Start the processing

The platform matches the verbatims to the codes using spellings: it automatically recognizes the spelling variants of one and the same label. The matching is never total — there is almost always a share of not coded verbatims left to finish by hand.
4

Handle the not coded verbatims

Go back to the verbatims left without a code. You can reclassify them into an existing code, create a specific code if one stands out (e.g. a competitor to watch), select the “I don’t know” answers in bulk to make them a DK item, or group the rest into an Other item.You can also leave verbatims not coded: it has no real impact on the results, even if putting them in Other is cleaner.
The automatic matching covers a good share of the answers, not all of them. The remaining answers will then have to be handled manually.
Applying the same code frame to several questions lets you handle the not coded verbatims in one go.

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With AI

For long answers, the AI proposes a first sort by theme.
1

Choose AI coding

In the Coding tab, select AI coding.
2

Choose the level of codes

Indicate whether the AI should produce One single level of codes or Two levels of codes (codes and subcodes). The two-level mode first brings out broad themes, then more detailed subthemes within each of them.
3

Review the proposed frame

The platform reads the verbatims and proposes a code frame, taking the survey objectives into account.
4

Adjust

Add a code that is useful to the client, delete the ones that are not needed, then confirm. You can also Add a subcode inside an existing code.
5

Let it run

The platform links the verbatims to the themes in a few minutes.
In two-level mode, the AI proposes codes and subcodes. In one single level mode, it sticks to the broad themes.

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Reading a two-level coding in the results

When a question is coded on two levels, the results follow the hierarchy: each subcode appears after its parent code, with explicit numbering (1, then 1.A, 1.B…). The results of a first-level code include those of its subcodes.

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Combining several open-ended questions

To obtain overall awareness (a brand mentioned in at least one of two questions, for example top of mind + spontaneous), code both questions with the same code frame, then reimport an open-ended question that groups their verbatims. Since the verbatims are already coded, the platform finds the matches without recoding. See Importing a variable.

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Exporting the verbatims

You can export the list of verbatims in Excel format: one row per answer, with its interview ID and the associated verbatim.
Last modified on August 24, 2026