The success of a research project is based on the insights gained from it. The decisions taken based on the data collected has a significant impact on the success of an organization. To make sure that you get the best of insights from research, it is essential to design a survey to ask the right questions. However, it doesn’t end there. You must phrase the questions correctly, place them in the correct order, and choose the right target audience.
Until now, with QuestionPro surveys, you could randomly display blocks of questions with block randomizer. We recently launched a new feature called block flow, using which you can randomize the order of question blocks based on the logic.
What is the block flow?
The block flow helps you decide the order of blocks to be presented to the respondents based on their answers to the earlier questions, geo-location, device type, etc. It reduces the chances of order-bias and helps you get valid data for your research.
Use block flow to implement monadic and sequential monadic testing, typically used in the new concept testing. One or more blocks of questions are randomly displayed to the participants. You can also set logic to filter participants satisfying specific criteria.
Learn more: How to use block flow in your surveys
Why should you use it in your research?
- Present just one concept only: When respondents are presented with too many options, they can get overwhelmed with the product features, pricing, and other attributes. It gets even more difficult if multiple products are shown to them. Using block flow, you can present a single concept in isolation.
- Prevent confusion: Eliminate respondents’ confusion by showing them only one concept to focus on and evaluate. It offers accurate and actionable information about the choices of your target audience. Once you collect all the responses on individual concepts, you can ask follow-up questions or compare the results of different designs.
- Prevent bias: If you present multiple concepts to the respondents, they are still shown in isolation. It means at a time, only one design or a potential solution is shown. As there is no presence of multiple concepts simultaneously, it prevents order bias.
Example of a block flow used in monadic testing
Consider a broadcast network company that wants to research the kind of content preferred by their audience of different age groups and genders.
Assume there are four concepts, and a respondent qualifies for two of them. With a monadic test, you randomly display one concept to each respondent.
The below configuration will show one concept out of concept 1 and 2 to all males.
Learn more: How to use block flow to set up monadic testing
Example of a block flow used in sequential monadic testing
In the example of a monadic test above, you can randomly display two concepts out of 3 if the respondent is a female, aged between 25-34.