Question Types

Available Question Types

Opinyze supports 10 question types to help you collect exactly the data you need.

Choice Questions

• Single Choice - Respondents pick one option from a list. Best for clear, mutually exclusive answers like "Which brand do you prefer?"
• Multiple Choice - Respondents select one or more options. Great for "Select all that apply" scenarios.
• Image Choice - Like single or multiple choice, but each option is represented by an image. Useful for logo testing, product packaging feedback, or visual preference studies.

Text Questions

• Short Text - A single-line text field for brief answers like names, titles, or one-line opinions.
• Long Text - A multi-line text area for detailed feedback, explanations, or open-ended thoughts.

Scale Questions

• Scale - Respondents rate something on a numeric scale. This is a versatile type that covers several common formats:
  • Satisfaction ratings (e.g., 1-5 stars or 1-10 quality scores)
  • Agreement scales (Strongly Disagree to Strongly Agree, commonly known as Likert scales)
  • Recommendation likelihood (the classic 0-10 NPS-style question)
  • You configure the scale range and labels to match your specific use case.

Advanced Questions

• Matrix - Multiple related statements rated on the same scale in a grid layout. Efficient for comparing several items along the same dimension. Results display as a heatmap showing response intensity across rows and columns.
• Ranking - Respondents drag items into their preferred order. Useful for understanding priorities and preferences.
• Date - A date picker for collecting specific dates (e.g., "When did you last visit a clinic?").
• File Upload - Respondents upload images or documents. Useful for screenshot feedback, receipts, or visual evidence.

Choosing the Right Type

Different question types lend themselves to different kinds of analysis:

• Choice and scale questions produce clean quantitative data. Response distributions, averages, and demographic breakdowns are generated automatically and are easy to interpret at a glance.
• Text questions (short and long text) capture rich qualitative feedback, but analyzing them at scale requires AI-powered theme extraction, which may cost additional credits. Use text questions when you need depth, and choice questions when you need breadth.
• Matrix questions are efficient when you need to evaluate multiple items on the same dimension, but they can feel heavy for respondents. Use them sparingly.