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Detect open-ended survey questions

Profile eligible text fields locally and review candidates before confirming them for qualitative analysis.

When to use this

Use this when an imported survey contains comments or open-ended questions.

Why it matters

Automatic detection can suggest fields, but only the researcher can confirm their meaning and suitability.

Step-by-step instructions

1. Open Qualitative Analysis for the project.
2. Select the intended immutable dataset version.
3. Run candidate detection.
4. Review field labels, text statistics, and bounded private previews.
5. Confirm genuine open-ended questions or reject unsuitable fields.
6. Open the coding studio for confirmed questions.

Expected outputs

Candidate text profiles and researcher-confirmed qualitative questions.

How to interpret the results

Detection reasons describe observable text characteristics. They do not establish that responses answer a particular research question.

Common mistakes

Do not confirm names, emails, identifiers, or administrative notes as research responses. Do not send respondent text to external AI by default.

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