The AI Dashboard supports several question types, each designed to give you unique insights into your data. In this guide, we’ll walk you through the available question types, when to use them, and why they’re helpful.
1. Open-Ended Questions 📝
What they are:
Participants provide free-text responses.
When to use:
Ideal when you want rich, qualitative feedback without restricting user input.
Why they’re useful:
The AI Dashboard uses topic clustering to automatically group similar responses. This makes it easy to analyze even large volumes of open text efficiently.
2. Scale Questions 🎯
What they are:
Questions where users rate something along a scale (e.g., 1–10).
When to use:
Best for measuring intensity, satisfaction, agreement, etc.
Why they’re useful:
The AI Dashboard visualizes responses with a color-coded scale. Hovering over the scale reveals more details such as:
Number of responses
Minimum, average, and maximum values
A clear legend for interpretation
3. Filter Questions 🔍
What they are:
Conditional follow-up questions based on previous answers.
When to use:
Use these to dig deeper into specific groups or opinions. For example, after a low satisfaction rating, you might ask an open-ended question to understand why.
Why they’re useful:
These questions appear nested in the dashboard and allow for layered analysis. They help uncover the "why" behind quantitative answers.
4. Option Fields ✅
What they are:
Single- or multiple-choice questions.
When to use:
Ideal for structured input where you want users to select from predefined answers.
Why they’re useful:
Answers are shown with a clear visual distribution, both graphically and in text. You’ll see how many participants selected each option — in absolute numbers and percentages.
Summary
Using the right question type helps you get the most out of your data:
Open-ended for deep insights 🌊
Scale for quick comparisons 📊
Filter to explore specific segments 🔎
Option fields for structured decisions ✔️