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The Survey Builder provides nine question types that cover the full range of qualitative and quantitative data collection. Each type is optimised for a different kind of respondent interaction, from a quick single-choice answer to an AI-driven conversational follow-up. Choose the type that best matches the data you need, and combine multiple types within a single survey.

Text questions

What it is: A single-line text input that accepts a brief free-form answer.When to use it: Collect a name, a short label, a numeric identifier, or any open-ended answer you expect to be one or two sentences at most.How to add it: Click Add question, then select Text from the question type picker. The input renders as a standard single-line field for the respondent.

Choice questions

What it is: A list of options where the respondent can choose exactly one answer.When to use it: Ask for a single definitive answer — preferred product, age bracket, satisfaction rating as a category, or any situation where picking multiple options would not make sense. Radio group questions can also serve as the basis for quota segmentation.How to add it: Select Radio Group from the question type picker, then add or edit the answer choices in the question editor.

Scale and rating questions

What it is: A numeric slider that lets respondents pick a value along a defined range. The default range is 1–5, but you can adjust the minimum and maximum values in the question editor. When to use it: Collect numeric ratings, satisfaction scores, likelihood-to-recommend questions (NPS-style), or any measurement where position on a scale matters. Scale answers are numeric and can be used in conditions with >, <, >=, and <= operators. How to add it: Select Slider from the question type picker. Set the minimum and maximum values to match your intended scale.
Pair a scale question with a text question immediately after it if you want respondents to explain their rating. Use skip logic to show the follow-up only when the score is below a threshold (for example, show “What could we improve?” only when the rating is ≤ 2).

Vocal questions

What it is: An audio recording input. Respondents record their answer by speaking into their microphone. Smartinterview automatically transcribes the recording using AI. When to use it: Capture richer qualitative data than text allows — tone, spontaneity, and natural language all come through in a spoken answer. Vocal questions work particularly well for exploratory research, brand perception studies, and usability feedback. The AI transcription makes the spoken content searchable and classifiable. Token cost: Transcription consumes 8 tokens per minute of recorded audio. A two-minute answer uses 16 tokens. Monitor your balance in Account → Plans before deploying vocal questions at scale.
Respondents must grant microphone access in their browser to record a vocal answer. Ask your respondents to use a supported browser (Chrome or Firefox recommended) and to accept the microphone permission prompt.

Smartquestion (AI follow-up)

What it is: An AI-powered question sequence that generates contextual follow-up questions based on the respondent’s vocal answer. After the respondent speaks, the AI analyses their transcription and asks a relevant follow-up — creating a short conversational interview automatically. When to use it: Use a smartquestion when you want to probe deeper into a respondent’s initial answer without pre-scripting every possible path. It is especially effective for brand perception research, customer experience studies, and exploratory qualitative work. How it works:
  1. The respondent records a vocal answer to your initial question.
  2. Smartinterview sends the transcription to the AI, which generates a follow-up question tailored to what the respondent said.
  3. The respondent answers the follow-up vocally. This repeats for the configured number of follow-up rounds (default: 2).
Configuration: In the question editor, set the number of follow-up questions and optionally provide a generation prompt to guide the AI’s questioning style (for example, “You are a market researcher. Always ask follow-up questions in the respondent’s language and focus on brand perception details.”). Token cost: Each AI-generated follow-up question consumes 1 token. A smartquestion configured for 2 follow-ups uses 2 tokens per respondent, in addition to the transcription tokens for the recorded audio.
The AI generates follow-up questions in the background after each answer is submitted, so respondents see a brief loading state between questions. The full conversation history — original question, transcription, and all follow-ups — is stored and available for analysis.

Image questions

What it is: A way to embed an image directly in a question. You can combine an image with any other question type — for example, show a product photo alongside a rating question or a free-text question. When to use it: Use image questions for concept testing, ad recall studies, packaging evaluation, or any situation where you want the respondent to react to a visual stimulus. The image is displayed as part of the question text using standard Markdown image syntax. How to add it: In the question editor, include an image in your question text using Markdown: ![Alt text](https://your-image-url.com/image.png). The image renders inline in the question for respondents.

Summary

Question typeInput formatBest forToken cost
Short textSingle-line textBrief open-ended answersNone
Long textMulti-line textDetailed open-ended answersNone
Radio groupSingle selectOne-answer categorical questionsNone
Checkbox groupMulti-selectMulti-answer categorical questionsNone
DropdownSelect menuLong lists of optionsNone
SliderNumeric rangeRating and scale questionsNone
VocalAudio recordingSpoken qualitative answers8 tokens/minute
SmartquestionVocal + AIAdaptive interview follow-ups1 token/follow-up + transcription
ImageVisual displayConcept and stimulus testingNone