Skip to main content
  • Customer Experience
    Customer Experience
  • Employee Experience
    Employee Experience
  • Brand Experience
    Brand Experience
  • Product Experience
    Product Experience
  • Core XM
    Core XM
  • Design XM
    Design XM

Step 1: Defining Conjoint Features & Levels

What's on This Page:

Was this helpful?

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

The feedback you submit here is used only to help improve this page.

That’s great! Thank you for your feedback!

Thank you for your feedback!

Qtip: Conjoint Projects are an additional purchase. Please contact your Account Executive if you are interested in learning more about this product.
Before you even open up the Qualtrics software, you need to determine the features and levels your conjoint will have. This means deciding what you’ll be testing as potential product bundles.

Understanding Feature and Levels

Features are the overall concepts you are testing. If you are looking to determine the best vacation to offer, features might include duration, location, and price.

Levels are the different choices for each feature. For the feature location, possible levels include Bermuda, Jamaica, and the Bahamas.

An Attribute isn’t an additional concept you have to define; it is the name for the feature and all its levels, collectively. For example, the feature Price and its three levels $1000, $1200, and $1500 make up one attribute.

Features and Levels in the product

Within the survey, your respondents will be presented with one level per feature in different combinations.

The respondent's view

How many features should I offer? How many levels?

For a choice-based conjoint project, you should have about three to eight features. Each feature should have about two to seven levels.

We don’t want too few options, because then there isn’t much to test. But if we include too many, the number of respondents you have to survey to produce significant results massively increases. Too many choices can also lead to an increase in the number of packages each respondent is asked to choose between, increasing respondent fatigue and decreasing the value of your data.