19 Things to consider when deciding on Question type for User Research
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This document discusses when to use open-ended versus closed-ended questions in user research. Open-ended questions are best for exploratory research, understanding needs and problems, qualitative data, and unexpected answers. Closed-ended questions are better for controlled conversations, quantifiable data, statistical analysis, and higher response rates from larger groups. The document provides examples of each type of question and considerations for various research goals and contexts.
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19 Things to consider when deciding on Question type for User Research
- 1. 19 Things to consider when deciding on Question type for User Research
- 2. When to use Open - Ended Questions?
- 3. 1. For Exploratory Studies ● In-depth interviews ● Persona research ● Qualitative Usability Testing ● Diary Studies Open - ended
- 4. 2. You want to explore respondents’ needs & behavior ● You want to understand the needs of the users ● How your customers use your product ● Which of the users’ problems you want to solve Open - ended
- 5. 3. You want to understand customers’ problems ● Probe deeply into issues ● Can reveal surprising mental models ● Can uncover customers’ strong emotions such as fear, hope. Open - ended
- 6. 4. You expect Long Responses ● Multiple sentences, stories, lists or even paragraphs ● Spontaneous responses Open - ended
- 7. 5. You want to know User’s opinions and feedback ● Opportunity for users to complain about a bad experience Open - ended
- 8. 6. You want to uncover user’s experience with your product ● Insights to improve your product ● Advantage of getting insights you can’t (or difficult to) collect through other ways Open - ended
- 9. 7. When you don’t want to miss opportunity to gain insights on topic you are not familiar with ● Respondents may share attitudes, behaviors and concerns you might not expect or is aware of Open - ended
- 10. 8. To use before a conclusive research ● These responses will be useful to design the survey structure and questions Open - ended
- 11. 9. You want qualitative data ● Difficult to compile into charts or tables ● Sometimes you can code responses, however it is difficult to interpret respondents’ words correctly Open - ended
- 12. 10. You want to know what, how, why ● Questions begin with these words ● ‘Why’ can sometimes mislead to come up with a reason even when there isn’t any Open - ended
- 13. 11. You expect unique, unanticipated answers ● Users can freely express what they feel or think about certain things ● Might reveal interesting responses or insights Open - ended
- 15. 12. You want higher response rates ● Where you can easily distribute and expect quick responses ● For larger populations ● For repeated research Closed - ended
- 16. 13. You want to keep the conversation in control ● Yes or No, Agree or Disagree type answers or responses with limited choices ● You want exact, quantifiable and predictable responses Closed - ended
- 17. 14. You expect short, factual answers ● Limited responses such as in multiple choice or where respondents can fill short answers Closed - ended
- 18. 15. For quantifiable data ● Easy to code for analysis ● Compile Data into tables and charts Closed - ended
- 19. 16. Easy to Analyze ● Responses can be given a no. or value to code for analysis Closed - ended
- 20. 17. When you have in-depth knowledge of topic ● Researcher must have clear understanding of the topic to provide options for responses ● He/ she should be aware of how it ties to the overall research problem Closed - ended
- 21. 18. For Statistically significant results ● Results can be concluded for the entire population Closed - ended
- 22. 19. Examples ● Multiple choice ● Semantic Differential ● Drop-down ● Checkboxes Closed - ended
- 23. www.bayux.com Medium Publication BayUX Data-driven experience design that converts, retains and delights your customers. Have a project? We are team of designers & researchers ready to help you.