Ranking questions are used to show consumer preferences for a set list of answers. In this example we've asked consumers to rank what they find most to least important when it comes to deciding where to order food from. There were 8 answers to be ranked, so the scale will go from 1 (what they care most about) to 8 (what they care least about) 

The default view presents the results in a table format, with the average rank on the left. Here low price had an average rank of 3.5 (on our 1-8 scale). These averages alert us to the range of results. A tight range, for instance the most preferred topic scoring 3 and the least preferred scoring 5, would tell us there is not a large preference for one topic, they all scored similarly on average. 

Next to the average rank, you can see the percentage of people who put each topic in each position. Each horizontal row adds up to 100% of respondents, so looking across the top row for ‘Low price’, 24.6% of people ranked this as most important, 18.5% as second most important, and so on. Each vertical row also adds up to 100% of respondents, so you can easily read down how each topic fared in each of the positions.

If you filter by segment, demographic or by answer, this will update the average rank given by that specific group of people, and coloured arrows indicate whether these selected people ranked them higher than the average of the entire sample (in which case there will be a green arrow), or lower than the average (in which case there will be a red arrow). 

Here we can see that when you toggle the demographics to include only 18-24, that they ranked Low price & Low delivery cost higher than the rest of the sample.

You can also change your default view to a chart, which gives a more visual representation of your results. You can choose from various chart types and colour options by clicking on "Edit view". If you don't want to see all 10 ranks, you can decide to hide certain items from the chart. You can also easily download the chart as a .png file.

On the Analysis page, you can split your results based on various segments, demographics, etc. and see if there is a significant difference in how these groups of respondents have answered your questions.

To limit the amount of information shown on one chart, you'll be able to choose if you want to view all subjects on the chart (e.g. Low price, Fast delivery cost) for each individual answer (e.g. ranked first) or the other way around.