Skip to main content
RISE logo

How do we measure how much a product is liked?

Whether or not a customer likes a product is a very personal decision based on a multitude of factors of varying importance. For this reason, it can be very hard to predict. 

However, with clever experimental design and appropriate statistical analysis, we can look for associations between other sensory descriptors or material properties and the overall tendency of a group to enjoy a product.

Here, the results can take the form: ”If a product is described as ”X”, there is an associated expected increase in overall enjoyment of Y units.” In this way, the relative importance of the attributes’ presence on product appreciation can be assessed, and those attributes with a negative impact on liking can be identified.

Of course, the relationship between hedonic measures and mechanical and chemical properties of a sample set can also be examined.

Quantitative and Qualitative methods can work well together here to form a more complete picture of what enjoyment means in complicated contexts such as cooking, eating, or shopping.

Elizabeth Hörlin

Contact person

Elizabeth Hörlin

Forskare/Projektledare

+46 10 516 65 66

Read more about Elizabeth

Contact Elizabeth
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.

* Mandatory By submitting the form, RISE will process your personal data.

Kathryn Harris

Contact person

Kathryn Harris

Projektledare

+46 10 516 60 24

Read more about Kathryn

Contact Kathryn
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.

* Mandatory By submitting the form, RISE will process your personal data.

Contact

Cannot find what you are looking for or are you curious about how we can help?

Send message
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.

* Mandatory By submitting the form, RISE will process your personal data.