AI Follow-Up Questions let you dig deeper automatically by generating a follow-up open text question to an existing question, based directly on each respondent’s answer. This helps you capture richer context and clearer detail without manually programming additional probes.

Key Features

Supports Open Text questions; currently unavailable for Voice/Video. When a respondent submits their answer: The AI generates a short, neutral follow-up question in your study’s primary language. If a safe and relevant question cannot be generated quickly, the follow-up is skipped to maintain survey quality.
Users must choose between AI Follow-Up or Skip Logic per question.
Skips automatically if a relevant or safe question cannot be generated quickly.

Why use AI follow-up questions?

AI follow-up questions help turn vague feedback into specific, actionable insights by probing for clarity, examples, and root causes.
They mimic a live interviewer at scale, improving response quality without adding researcher workload.

How to Use

Enable via the toggle in Study Setup for any Open Text question.
Context used: Uses study goals, previous responses, and NLP signals (sentiment, intent) to tailor probes.
Generates questions focused on clarification, impact, sentiment, or depth.
Results: View both the AI-generated probe and the respondent’s answer in the Results tab.
AI Follow-Up relies on several sources of context to generate relevant questions:
- Study goal (if provided): Keeps the follow-up aligned with your research objectives
- Respondents prior question and responses: Broadens contextual understanding
- NLP signals, such as: Intent, sentiment, topics, entities
Types of questions AI may generate:
- AI Follow-Up produces one of several question styles, depending on the respondent’s answer: Clarification, depth, context, impact, sentiment, keyword

Best Practice

Use 1–2 AI Follow-Up questions per survey to balance deeper insights with respondent experience.

CSV File

The AI Follow-ups feature stores follow-up prompts and responses that were generated by AI for a respondent’s original answers. The CSV format for bulk export/import of AI follow-ups

Q1a_Question_Text
Q1a_Response
Q1b_AI_Followup_Question_Text
Q1b_Response

The Q1a/b refers to the parent question and response. Q2 a/b refers to the child question and response.

API Endpoint updates

/responses endpoint:

The only difference is the addition of parentQuestionId

      {
            "visitorId": 0,
            "surveyId": 31064,
            "questionId": 241190,
            "updatedAt": "2026-01-29T18:14:18.167Z",
            "createdAt": "2026-01-29T18:14:18.167Z",
            "responseGroupUid": "d9bb8e7f-a0c5-4844-bf2f-01c6a14993fb",
            "response": "payments was confusing",
            "questionText": "can you clarify your response?",
            "parentQuestionId": 241188,
            "externalUserId": "",
            "partnerAnonymousId": "",
            "visitorUuid": "dfe1361a-0055-40f7-ab50-0e2bda8a6f06",
            "questionType": "AIDYNAMICFOLLOWUP"
        },

/surveys endpoint:

The only addition is parentId, and of course the type now can also include AIDYNAMICFOLLOWUP

              {
                    "id": 242496,
                    "type": "AIDYNAMICFOLLOWUP",
                    "order": 2,
                    "options": [],
                    "parentId": 242495,
                    "questionText": "Dynamic follow-up placeholder",
                    "routingOptions": [],
                    "optionsProperties": {
                        "required": false,
                        "conceptUrl": null
                    }
                }

/themes endpoint

No change