Rapid methods to optimize product performance using the consumer, Chicago, 21-22 April 2016

Hands on: Rapid methods to optimize product performance using the consumer, 2 days

This course will let you acquire easy to use methods that will help you optimize product performance using the consumer.

Overview

Conventional preference mapping requires a sensory panel to provide a space to relate to liking.

  • What can you do when there are no sensory data?  
  • Can we use Emotions data and consumer perceptions from rapid methods to guide product reformulation trials?

 For the first time, we will offer training and practical experience in :

  • product liking optimisation through JARS and Ideal point scoring,
  • measuring consumer perceptions of sensory and emotion attributes,
  • combining product attributes with emotions or brand/package attributes in a holistic optimisation process.

Attendees will practice their learning using real life data and the XLSTAT data package.


Pre-Requisites

This course assumes familiarity with the following key statistical techniques used in sensory and consumer research: Analysis of Variance (ANOVA), Correlation, Simple Regression and Principal Components Analysis. (refresher notes can be provided upon request)

Price

Dates

Start at:

End at:

Language

English

Location

Chicago United States

Trainers' profiles


Anne Hasted

Anne is senior consultant at Qi Statistics Ltd, a UK based consultancy offering a full portfolio of statistical support through training, data analysis, project consultancy and software development. She is a chartered statistician with over 25 years of consultancy experience in a wide range of companies. She has run training workshops worldwide and is recognised for providing “user friendly” training.

hand-stat