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Deepfield supports multiple question types to help you gather different kinds of data. Choose the right type based on what you want to learn.

Available Question Types

Quick Reference

Question TypeBest ForData Type
Multiple Choice (Single)Exclusive options, preferencesQuantitative
Multiple Choice (Multi)All that apply, behaviorsQuantitative
MatrixComparing multiple itemsQuantitative
RankingPriority orderingQuantitative
Open TextExplanations, ideas, feedbackQualitative
Video/AudioRich insights, emotionsQualitative

Choosing the Right Type

For Quantitative Data

Use structured question types when you need:
  • Statistical analysis
  • Percentages and counts
  • Easy comparison across groups
  • Automated reporting
Recommended: Multiple Choice, Matrix, Ranking

For Qualitative Insights

Use open-ended types when you need:
  • Deep understanding of “why”
  • Unexpected insights
  • Rich, contextual responses
  • Emotional nuance
Recommended: Open Text, Video/Audio
Mix question types. A good study combines quantitative questions (what and how many) with qualitative questions (why and how).

Question Type Examples

Measuring Satisfaction

ApproachQuestion TypeExample
Simple ratingMultiple Choice”How satisfied are you?” (Very satisfied to Very dissatisfied)
Multiple attributesMatrixRate satisfaction with price, quality, service
ExplanationOpen Text”What could we do to improve your satisfaction?”

Understanding Preferences

ApproachQuestion TypeExample
Top choiceMultiple Choice (Single)“Which feature is most important to you?”
All that matterMultiple Choice (Multi)“Which features do you use? (Select all)“
Priority orderRanking”Rank these features from most to least important”
In-depth reasoningVideo/Audio”Tell us why you prefer this option”

Gathering Feedback

ApproachQuestion TypeExample
CategoryMultiple Choice”What type of feedback do you have?”
ScaleMatrixRate different aspects of experience
DetailsOpen Text”Please describe your feedback in detail”
Personal storyVideo”Share your experience with us”

Common Patterns

Awareness → Evaluation → Intent

1

Awareness (Multiple Choice)

“Which of these brands are you aware of?”
2

Evaluation (Matrix)

“Rate each brand on the following attributes”
3

Intent (Multiple Choice)

“How likely are you to purchase from each brand?”
4

Explanation (Open Text)

“What influenced your preference?”

Behavior → Attitude → Motivation

1

Behavior (Multiple Choice)

“How often do you use this product?”
2

Attitude (Matrix)

“Rate your agreement with these statements”
3

Motivation (Open Text or Video)

“Why do you use this product?”

Tips for Question Type Selection

Multiple choice questions are easy to answer and analyze. Use them as your default, adding complexity only when needed.
Think about how you’ll analyze the data. If you need percentages, use multiple choice. If you need rankings, use ranking questions.
Video responses take more effort than clicking options. Save high-effort questions for when you really need rich insights.
Matrix questions can feel repetitive. Limit the number of items and use them only when comparison is important.

AI-Generated Question Types

When you create studies with AI chat, the assistant automatically selects appropriate question types based on your research objectives. You can always change the type afterward if needed.

Next Steps