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Analysing the results of ranked questions

Analysing the results of ranked questions

Learn how to use and analyse answers from the ranked question type

Updated over a week ago

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) 

On Overview the results are presented 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.

You can also choose to show your results in a chart format by clicking on the "Edit" icon and choosing from other chart types, such as stacked bar.

Comparing results for ranked questions

If you want to analyse how different segments have responded to your ranked question or how the results have changed over time, you can use the "Split by" options in the left-hand side panel. Choose what you want to split your data by and how you want to visualise this: Charts or crosstabs.

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. Food, Travel, Fashion) for each individual answer (e.g. "1st!) or the other way around.

Applying filters

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). 

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