Tools and Applications of Sensory Product Testing

Monday - March 30 (8:00 a.m. - 5:00 p.m.)

Topics
♦ Difference testing methods: m-AFC, triangle, duo-trio, same-different, A/Not A and degree of dif ference
♦ Estimating a measure of sensory difference, d´, and its variance from discrimination tests
♦ Power and sample sizes for discrimination methods
♦ Proportion of discriminators in the population
♦ Developing support for advertising claims
♦ Equivalence and ratio (multiplicative) claims

Cases
♦ Product differences using m-AFC tests
♦ Ingredient supplier change: Texture using 2-AFC, duo-trio, and triangle; The issue of power
♦ Superiority claim: 2-AFC vs. duo-trio
♦ 2-AFC and 2-AC on carbonated water
♦ Review of some cases for the NAD
♦ Evaluating an equivalence claim

Tuesday - March 31 (8:00 a.m. - 4:00 p.m.)

Topics
♦ Replicated testing: Beta-binomial models
♦ How to get d´ values from intensity ratings data
♦ Rating means and scale means
♦ Ranking
♦ Ratio measurement
♦ Advanced concepts and applications: Retasting, memory, and sequences
♦ Measuring the effect of training

Cases
♦ Memory and sequence effects
♦ Improving discrimination by allowing retasting
♦ Relating trained panel and consumer sensitivities
♦ Ingredient change: Getting d´ values from descriptive analysis
♦ Generating a dose response relationship using ranking and rating

Seeing the Market Through the Eyes of the Consumer

Wednesday - April 1(8:00 a.m. - 4:00 p.m.)

Multivariate Approaches to Mapping Product Similarities

In this section, you will learn how to produce product maps to display similarity data. Emphasis will be placed on learning through the use of graphics and powerful visual tools. The ideas behind the construction of these maps will then be readily understood. Methods such as biplots, PCA, and multidimensional scaling will be discussed. Multivariate probabilistic approaches to the analysis of
data from same-different judgements, degree of difference and Torgerson’s method of triads will be presented. Multidimensional analyses for the triangle and duo-trio protocols will be described and the important effect of dimensionality on the performance of discrimination procedures with be outlined.

Cases
♦ Plant variation: Mapping similarities of orange juices
♦ Multivariate mapping using a discrimination method
♦ Mapping consumers' reasons for product consumption
♦ Product/concept fi t with fragrances
♦ Effect of dimensionality on the performance of the triangle protocol: texture and flavor of potato chips

Thursday - April 2 (8:00 a.m. - 4:00 p.m.)

Drivers of Liking® and Portfolio Optimization

You will learn how to interpret liking, preference, and just-about-right data. The concept of an ideal will be explained and used to produce maps of products and
ideal points for individual consumers and segments. We will illustrate techniques for using trained panel, descriptive data and analytical data to explain the unfolded solutions and identify the variables that drive liking. Landscape Segmentation Analysis® (LSA), a method for simultaneously segmenting a market and finding drivers of liking, will be discussed. We will show you how an LSA map can then be used to identify the optimum location for placing a new or existing product as well as to optimize product portfolios.

Cases
♦ Using an ideal point model to analyze JAR data
♦ Landscape Segmentation Analysis on 25 beverages
♦ Determining a product's optimal sensory profile using a market appraisal study
♦ Product portfolio optimization for a population with three distinct segments
♦ Mapping consumers’ reasons for product consumption
♦ Adults’ and children’s food preferences
♦ Product/concept fi t with fragrances
♦ Refreshing and moisturizing aspects of soap bars
♦ Application of LSA to a global market initiative for personal care products in Unilever
♦ Blind-branded study: Branding and imagery effects on consumers’ product acceptability; Chardonnay wines

Friday - April 3 (8:00 a.m. - 12:00 Noon)

Competitive Simulations Using LSA

Landscape Segmentation Analysis® provides a novel approach to the design of product portfolios and a unique opportunity to engage in competitive marketplace simulations. You will participate in a series of competitions in which you will use
LSA to optimize revenue or market share as you make product positioning decisions. You will gain experience regarding brand strength, competition and
cannibalization, identifying emerging segments and managing product and research costs.

Download the course brochure here

Register for the course here