What have we been up to...

March 23, 2016

We have had a very busy few months at Sensory Dimensions and thanks to an incredible effort from our team, we successfully ran over 70 studies between last November and January this year! We have been testing a diverse range of products from pet food to sparkling wine, toothpaste to pastries, soups to recipe ingredients... We continue to...

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Rapid Methods Paper

January 26, 2016

Summary Rapid profiling techniques are gaining in popularity as Sensory and Consumer researchers try to reduce the time and cost associated with running conventional descriptive analysis. The most widely discussed Rapid Methods are Free Choice Profiling, Flash Profiling and Napping. Most of the time spent in QDA based descriptive profiling is...

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October 16, 2015

Sorting methods in sensory and consumer research There are various types of sorting techniques described in the sensory literature. The challenge we face in sensory testing is knowing which method is the best one to use. In a recent cat food study we focused on three techniques: free sorting, hierarchical free sorting and Napping. The objective...

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Sensory Panels and Panel Leaders

August 11, 2015

Sensory evaluation is at the heart of what we do at Sensory Dimensions. Traditional sensory testing by trained panels comprises between 40 – 50% of our business. Moreover, our consumer research business specialises in product evaluation and as such is underpinned by the principles of good sensory practice. Given this you would rightly expect...

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Implicit Measures for Consumer Research

June 12, 2015

The last few years have seen an increasing interest in the use of so called ‘implicit measures’ to assess consumer opinion of products, packs and marketing materials. So what are Implicit Measures and how do they differ from our more traditional, explicit, or self-report, methods?  When we use explicit, or ‘self-report’ methods, we ask...

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Code Bias

April 22, 2015

A very interesting item in the Spring issue of the Institute for Perception Newsletter discusses the issue of Code Bias in product testing. Code bias occurs when the number codes on our samples, in themselves, contribute to the response or sample selected by the respondent. The example quoted is that from a Chinese research study. In China, the...

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