Which sensory characteristics make your product stand apart from your competitors?
With descriptive techniques, we can highlight the most important sensory attributes in your product, and make comparisons to other related commercial products on the market.
Combining the results from descriptive analysis with the results from a consumer liking test, the best liked product will provide you with a sensory fingerprint that allows you to get an understanding of the most important sensory sensory attributes in this product category
Which prototype products are closer to your ideal product, and how do they differ?
Sensory descriptive analysis of your prototypes is crucial during a product development process. It will provide you with information about the varying factors, like processing variables, varying list of ingredients, or raw material differences. The descriptions will allow you to see how deviant, each of these prototypes are from your ideal or gold product, and help you make sound decisions in the product development process.
How does your product change during shelf life?
Evaluation of sensory changes happening during shelf life, allows you to determine the time point in which the product starts to deviate from your GOLD standard, and when it is likely that customers will start noticing these changes.
You can test it out by running a discrimination test, which will give you an idea of the likelihood that your consumers will detect the difference.
Or, maybe you would like to see how a product changes in its sensory characteristics during its shelf life, and estimate its lifespan, by running a descriptive analysis.
Quality control: How much your product is deviating from the ideal product?
In quality control, sensory objective descriptions of products with possible quality defaults can highlight its sensory characteristics and how much it deviates from an ideal product, and can help you localize the problem.
In the sensory analytical tool box, there are a range of methods to choose from, depending on the problem to be solved.
What are the links between technology, ingredients and perception?
Multivariate statistical analyses allow you to combine data from sensory descriptions, consumer liking results, and instrumental data. They allow you to get an idea of which products are the most liked, the sensory drivers of liking, and the underlying chemical composition of the products.
The data analyses can help map a range of products and give a powerful overview of the flavor map within a product category.