AI Form Question Types

Question Creation Methods

Users have two paths for adding content to a form:

Import from Library: Accesses all questions from published forms across the school or university. This promotes data consistency and saves time through reusability.

Create from Scratch: Allows for the build of custom questions when the library does not contain the necessary field.

Question Type Definitions & Usage

Each question type is designed for a specific data need or visual requirement:

• Radio Button: Best for 1–4 options. If more than 4 options exist, this type should be avoided for better UI. (Note: Incompatible with Question Groups).

• List: Used for 5+ options. It includes a search bar at the top to help users navigate long lists.

• Dropdown: Used for many static options while saving vertical space.

• Checkbox: The only multi-select option. It functions as a simple toggle for each item.
  
  
• Slider: Used for numeric inputs like GPA or for providing feedback on a scale.

• Short Answer: Standard single-line text input.

• Paragraph: Used for long-form text. The input box size is adjustable.
  • AI Integration: Content in this field can be used to generate an AI response for the user at the end of the form.

• Statement: A non-question field used to provide feedback, instructions, or headers to the user.

• Date Picker: Used for selecting specific calendar dates and time fields.

Specialized Data Fields

These fields are pre-configured for specific administrative data:

• Phone Number: Includes automatic format validation.
• Zip Code: Specifically for postal code data.
• High School: A text field for students to enter their graduated or expected high school.
• Program Start: Simplifies date entry. While a specific date is stored, the user sees a simplified Season and Year (e.g., Spring 2025).

Question Grouping

Question Groups allow you to cluster multiple questions together for better organization. However, they are limited to specific question types.

Conditionality

To ensure users only see the most relevant information, AI Form utilizes two types of conditional logic:

1. Conditional Logic Groups

• Definition: This determines which specific answer choices are shown based on a previous question.
• Example: If a user selects that they are a Computer Science major, the next question dynamically filters to show only the different emphases available for that specific major.
• Trigger Rules: This logic requires a defined, selectable value to act as a trigger. It is only compatible with Radio Button, Dropdown, and List question types.
  
  

2. Conditional Skipping

• Definition: This allows the form to skip an entire question or section based on an answer.
• Example: If a question regarding documentation is only applicable to international students, the form can be set to skip that question entirely if the user identifies as a domestic student.
• Trigger Rules: Like logic groups, conditional skipping is only compatible with Radio Button, Dropdown, and List question types. Anything that is a form of free response (like Short Answer or Paragraph) is not compatible with this logic flow.