Different question types

Information on all the question types available at Attest, and the types of data you can collect

Parm Bansil avatar
Written by Parm Bansil
Updated over a week ago

At Attest you can choose from 6 different question types when creating your survey. This excludes text cards which are free to use and can provide context or signposts for respondents. 

  • Single Choice - Respondents will only be allowed to pick one answer from the answer options you write. 

  • Multiple Choice - Respondents can pick several of the (up to eight) answer options you write. You can limit how many answers they can pick by using the Multiple choice limit drop down at the bottom of the question card.

  • Ranked - This question type will ask respondents to rate all answers options in order of preference.

  • Open Text - This question type gives your respondents an opportunity to answer the question by typing in whatever they are thinking. Attest also allows you to choose the length of open text responses and the number of open text responses you want your respondents to give to each question. Please read this article on open text to learn more about best practices when using this question type.  

  • NPS (Net Promoter Score) - NPS is a widely used measure of the loyalty and satisfaction of a brand’s customers. NPS can also be used to track business growth when measured over time.

  • Grid - You’ll be asking for respondents to consider two variables when they answer a grid question, (1) how they feel or act (2) in relation to a number of items. You will give a title, subjects and answer options in your question draft. Read our article on using the Grid question type to learn more. 

Quantitative vs Qualitative research. Which question types to use? 

Quantitative research gathers data that can be measured on a numerical scale - for example: height, distance or weight - it can have an infinite range of values. 

Qualitative research is that which can be categorised, or assigned characteristics and has a finite number of values - for example: favourite colour, opinion, or flavour of ice cream. 

It’s often the case that quantitative data is used to tell you the “what”, and qualitative is used to give you an indication about the “why.” Combining open text qualitative responses with quantitative questions in your surveys will often produce more insightful and easily actionable results. 

To analyse this qualitative data, most people will identify common themes in responses and group the answers together. This allows you to transform qualitative responses into quantitative data to be analysed. Alternatively you can conduct a sentiment analysis.

To learn more about how to use open text questions and analysing qualitative data read this blog post. 

If you have any queries about what question type you should use browse our Help Centre or get in touch with our Client Experience team via the in-platform live chat. 

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