Quadrant Analysis allows you to explore a number of entities, such as brands, rated on a list of attributes and visualize them on classical quadrant view. For example, to get an idea of the fast food industry in the U.S., you may want to rate McDonald's, Wendy's, Burger King, and others in their competitive set on attributes like food quality, price, healthiness, speed of service, etc.
To add a quadrant analysis question, simply drag and drop the corresponding icon from the sidebar into the survey editor.
Then, fill out the list of entities you want to test, along with the list of attributes. In the bottom right corner of the attributes list, you will find a combobox with a preset library of common attributes, including product attributes, service attributes, and general brand attributes.
The model works best with at least 4 entities and 4 attributes, and you can add up to 10 items in each list.
To add entities or attributes, click the “+” below the last item.
To delete an entity or attribute, hover to the left of the corresponding item number and click the red “x” that appears.
You also have the ability to illustrate every field and randomize the order in which they will be presented. If you don't want certain options to be randomized, you can easily anchor them in place so they appear in the same order for each respondent.
Next, you can choose whether you want respondents to rate each entity with stars (the default mode on our platform) or sliders. If you choose to use a star rating, you'll be able to use 5, 7 or 9 stars for each attribute.
If you decide to use sliders, you'll be able to choose from our library of pre-written Likert scales, edit the answers, and write your own custom answers.
You can also choose how to group these two lists. By default, we'll group them by entities. That means that each entity will be presented as a separate question, with attributes listed as sub-questions below.
If you switch to 'group by attribute', each question will ask about one attribute at a time and will contain all the compared entities on the page.
Please note that it's important to make sure the question is still appropriate for your case.
We have four pre-written question texts, designed for star ratings and sliders in both modes – grouped by entities and by attributes. Our platform suggests default text as you adjust the parameters of the experiment, as long as the field is empty or untouched. If you edited the field already, we won't alter your text, but you'll have to understand how it works and carefully test it out.
If you group by entities, the word [entity] will be replaced by a specific entity (or brand, as in our example) as you roll over it. The same thing will happen with your attributes.
If you accidentally remove the magic word in square brackets, you can easily type it back in or click on the warning that will appear underneath.
Questions, suggestions? Click the chat icon at the bottom right of this page or email us at firstname.lastname@example.org – we would love to hear from you!