Question types guide

A complete guide to all question and block types available in QuestionPunk.

QuestionPunk supports a wide range of question types and flow-control blocks. This guide explains each type, when to use it, and configuration options.

survey-designsurvey-design-question-types10-25 minutesBeginner to IntermediateResearchersAnalystsSurvey designers

Steps

  1. Click + Add to browse types
    In the survey editor, click + Add in the left sidebar to see all available question types organized by category.
  2. Choose the right type for your goal
    Each type serves a different purpose. Use the guide below to pick the best match for your research question.

Quantitative types: Opinion Scale (1-10 or custom range), Rating (star/number rating), Multiple Choice (single or multi-select), Dropdown (single select from a list), Ranking (drag to order items), Matrix (grid of rows and columns), Constant Sum (allocate points across options), Numeric (free number entry).

AI-powered types: AI Interview (text-based conversational interview with adaptive follow-ups), AI Audio Interview (voice-based real-time voice interview). AI interviews support three question modes: fixed count, AI decides (the AI chooses when to stop probing based on your guidance), and time-based.

Open-ended types: Long Text (paragraph response), Short Text (single line response).

Contact & info types: Email, Phone Number, Date, Address, Website, Contact Form.

Media types: Audio Record (respondent records audio), Video Record (respondent records video).

Flow control types: Chat Message (display-only message to the respondent), Conversation Reset (clears the chat history and starts a fresh conversation thread), Page (page break between sections), Button (clickable action button).

Each question type can be combined with display logic, branching rules, and AI-powered follow-ups to create sophisticated survey flows.

Examples

  • Opinion Scale: "On a scale of 1-10, how likely are you to recommend us?"
  • AI Interview: "Tell us about your experience with our product" (AI asks adaptive follow-ups)
  • Rating: "Rate each feature from 1 to 5 stars"
  • Multiple Choice: "Which department do you work in?"
  • Ranking: "Rank these features from most to least important"
  • Matrix: "Rate each aspect of our service on satisfaction and importance"
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