After data has been collected, researchers often need to combine responses based on similar responses for analytical purposes. This is possible by grouping answers into a ‘Bucket.’ Each bucket will then represent a single response category in the analysis of the question.


For example, say a survey question captured levels of satisfaction on a scale of very satisfied, satisfied, neutral, dissatisfied, and very dissatisfied.  During the analysis phase of the report, the administrator wishes to compare only satisfied participant to dissatisfied participants. The administrator would be able to create a bucket made up of very satisfied and satisfied respondents, and another bucket of dissatisfied and very dissatisfied respondents.  The question’s analysis would then be represented as three categories; satisfied, neutral, and dissatisfied.


Bucketing is available on the Ultra plan and higher.


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Shannon McCluskey

Shannon is a marketing specialist at Fluidware. She is passionate about sharing knowledge on the latest survey insights and product features. Shannon is also very active in the local technology community, and mentors startups on marketing strategy.
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