When and Why to Use

Use this when you need a single-select multiple-choice question. It's suitable for:

• Categorical data collection (e.g. gender, preferences, ratings)
• Recoding responses into other groupings
• Displaying image-based choices
• Allowing "Other (please specify)" options

Supports randomization, disabling options, and custom input.

Chat Experience

• Options appear as buttons or image tiles depending on input.
• If specify_option is set, an input field appears when selected.
• Disabled options appear grayed out and cannot be selected.

With images	Without images	List style

Traditional Experience

• Layout may adjust to grid view or left-right image-plus-label design.
• Keyboard/remote navigation highlights each choice.
• Specify input field appears inline or in modal depending on UI.

With images	Without images	Mobile optimized List style	Mobile Optimized

Configuration Options

Option	Type	Required	Default	Description
question	string	yes	-	The prompt shown to the user
options	`List[str	MediaItem]`	yes	-
style	Literal['button', 'list']	no	button for short lists/questions and list for longer ones.	The style to use, either a list or a button.
image	MediaItem	no	-	Image shown above the question
randomize	bool	no	False	Shuffle options (except fixed ones)
fixed_options	List[str]	no	-	Options that remain in place even when randomizing
disabled_options	List[str]	no	-	Options to gray out/disable
specify_option	str	no	-	Adds an "Other" option requiring input
specify_text	str	no	"Please specify"	Prompt shown with specify_option
default	str	no	random choice	Test data default
recodes	Dict[str, str]	no	-	Maps response(s) to grouped value(s)
custom_validator	`Callable[[str], str	None]`	no	-
skip_empty	bool	no	False	If True, skips the question when no options available
image_label_field	str	no	-	Field used to label image options from media items
show_image_label	bool	no	True	Whether to show labels with image tiles
image_size	Tuple[int, int]	no	-	Pixel bounding box for rendering image options
tags	s.tag()	no	-	Replaces tokens in question and groups results in reports

Example Code

Basic usage:

s.select_question("What is your gender?", options=["Male", "Female", "Non-Binary"])

With disabled and specify:

s.select_question( "What did you enjoy most?", options=["Service", "Price", "Speed"], disabled_options=["Speed"], specify_option="Other", specify_text="Tell us what else you enjoyed" )

With custom validator:

s.select_question( "Which brand do you trust the most?", options=["Brand A", "Brand B", "Brand C"], custom_validator=lambda x: "Are you sure you meant Sleepy Cows?" if x == "Sleepy Cows" else None )

Notes

• randomize helps reduce bias, especially in brand lists.
• Use fixed_options to keep options like "None of the above" in place.
• specify_option is useful for letting users add their own answers.
• Recoding allows multiple options to be grouped into analysis buckets.