Reporting on Card Sort question results
Learn more about viewing Card Sort data.
Access reporting
 You can view your results in 
		  Monitor and modern reporting. 
		  Monitor displays up-to-date participation data
		  as responses are coming in. Modern reporting allows you to analyze Card Sort
		  responses in greater detail. 
		
 
	 - To view participation
			 data, click 
			 Monitor. 
			   
- Card Sort questions are
			 listed as part of the survey path. Completion, skip, and stop point information
			 is displayed for each of them. 
			   
- To view response data,
			 click 
			 Report. 
			   
- Under 
			 Modern Reporting, click 
			 Get Started. 
			   
- Create a new modern report
			 or open an existing one. 
			   
- Scroll to the Card Sort
			 question tile. 
			   
Card Sort question tile
The Card Sort question tile displays a similarity matrix that shows how often cards were grouped into categories.
 
 
		- The blue table cells indicate which cards were most frequently placed into the category.
- The darker the shade of blue in the table cell, the more frequently that card was placed in the category. Look at the legend at the bottom of the table to interpret the blue color-coding.
- The values in the table cells indicate the percentage or count of responses that placed the card in the category.
- Cards are grouped together based on how frequently they were sorted into the category.
- Categories are displayed as column headers in authored order.
- Click Open in Full Screen to view the full table.
- Read the table from left to right, from the top row to the bottom row.
- Filter results to uncover specific insights.
- Export the results to CSV for further analysis.
Tip: As you're evaluating your Card
		  Sort data, use these questions to guide your analysis: 
		  
 
	 - Does the data validate your hypotheses about information placement and architecture? If not, what do you need to change?
- Are there unclear or misleading category labels that seem to confuse participants? What can you do to fix them?
- Which categories were most ignored? Is there an opportunity to simplify your information architecture by eliminating them?
- Which categories were overused? Is there an opportunity to split those into further categories?