Co-Design with Our Users: Analyzing Performance in a CATA Experiment and Further Developing CATATIS with Givaudan

Free Case Study

Analyzing Performance in a CATA Experiment and Further Developing CATATIS with Givaudan

Collaborating with global taste and wellbeing leader, Givaudan, the XLSTAT R&D and Engineering teams further developed and improved the CATATIS feature.




The Check-All-That-Apply (CATA) test is one of the so-called Rapid Tasks and is typically conducted with consumers to understand their perceptions of products. However, there is an incompatibility between traditional CATA data analysis methods and the nature of the data when collected by means of a trained panel. Improvement of the CATATIS feature was needed to resolve incompatibility between method and data. This case study dives into the collaboration between Givaudan and XLSTAT to further develop CATATIS for improved results and analysis.

Table of contents

  • The limits of CATA analysis
  • CATATIS combined with significance
  • Results from collaboration

Writer profil

Fabien Llobell

Head of Quantitative Research at Lumivero

Fabien Llobell is a world-renowned sensometrics expert with a PhD in statistics. He has made a significant impact on the field of sensory research with his work and has been instrumental in the development of numerous statistical tools and methods. His expertise in the field of statistics and sensometrics has enabled him to develop a range of XLSTAT features, particularly in the sensory menu, that have allowed users to have an increasing number of useful tools at their disposal to analyze their data. Llobell’s contributions to the field of sensometrics have been widely recognized, and he has presented his proposed statistical methods at numerous well-known conferences around the world such as Pangborn, Eurosense, SDSS, Sensometrics, and JSM.

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