Grid Select Question

When and Why to Use

Use this to collect structured responses across multiple attributes. Ideal for:

Marking multiple items on the same scale (e.g. product attributes)
Capturing matrix-style input efficiently
Comparing the same options across rows

Supports recoding, randomization, and media-based rows.

Chat Style

Each row is displayed as a vertical block with radio buttons or buttons, depending on style
Rows scroll vertically
Specify option input appears below the corresponding row when selected

Traditional Style

Grid is shown in tabular layout with rows as items and columns as options
Works well with keyboard/remote input
Hover/focus interaction highlights active cell

Chat style with buttons

Traditional with buttons

Traditional with Radio

Mobile optimized traditional

Configuration Options

Option	Type	Required	Default	Description
`question`	`string`	yes	-	The prompt shown to the user
`rows`	`List[str	MediaItem]`	yes	-
`row_name`	`string`	yes	-	Label used in reporting and data schema
`options`	`List[str]`	yes	-	Options available for each row
`style`	`string`	no	`radio`	"radio" or "button" display style
`randomize`	`bool`	no	`False`	Randomize row order
`randomize_options`	`bool`	no	`False`	Randomize option order per row
`fixed_options`	`List[str]`	no	-	Options that are never randomized
`specify_option`	`str`	no	-	Adds an "Other" option to all rows
`specify_text`	`str`	no	"Please specify"	Prompt for the specify input
`image`	`MediaItem`	no	-	Image shown above the question
`recodes`	`Dict[str, str]`	no	-	Maps options to alternate values
`custom_validator`	`Callable[[Dict[str, str]], str	None]`	no	-
`image_label_field`	`str`	no	-	Field to use for labeling row images
`show_image_label`	`bool`	no	`True`	Whether to show labels under row images
`image_size`	`Tuple[int, int]`	no	-	Pixel bounds for row images
`skip_empty`	`bool`	no	`False`	Skip question if rows are empty
`default`	`Dict[str, str]`	no	random	Default selections for test data
`tags`	s.tag()	no	-	Used for token substitution and grouping in reporting

Example Code

Basic usage:

s.grid_select_question( "Please rate the following aspects of the product", row_name="Product Aspect", rows=["Quality", "Price", "Service", "Delivery"], options=["Poor", "Fair", "Good", "Very Good", "Excellent"] )

With recodes:

s.grid_select_question( "Rate the following aspects of the experience", row_name="Attribute", rows=["Cleanliness", "Friendliness", "Wait Time"], options=["Poor", "Fair", "Good", "Excellent"], recodes={ "Poor": "1", "Fair": "2", "Good": "3", "Excellent": "4" } )

With custom validator:

s.grid_select_question( "Rate the following aspects of {brand} cars", row_name="Attribute", rows=["Design", "Comfort", "Technology"], options=["Poor", "Fair", "Good", "Excellent"], brand="Tesla", custom_validator=lambda d: "Please vary your responses" if len(set(d.values())) == 1 else None )

Notes

Set style="button" for a more compact tap-friendly interface
Use recodes to make scale responses easier to analyze
The custom_validator helps enforce variation or specific logic
specify_option enables per-row free text for non-listed choices