Why the tetrad is superior to the triangle and duo-trio methods

Which sample size do I need for my research?

Consumer-relevant action standards and how to create them

Same-different vs. paired preference for consumer relevance

Risk and sample size when switching to the tetrad method

Building a successful internal sensory program

Specifying panel sample sizes as a function of method, power, α, and size of the difference

Same-different method to establish consumer relevance (δR)

Linking internal panel and consumer sensitivities

Switching from the triangle to the tetrad method

Introduction to Landscape Segmentation Analysis® (LSA): Liking as a form of similarity

Successive analytical steps

Unfolding

Applications of LSA principles to an ingredient substitution project

Creating the product and consumer ideal point space

Studying consumer segmentation

Regressing sensory information to uncover the drivers of liking

Contrasting LSA with internal and external preference mapping and explaining their respective strengths and weaknesses

Comparing external and internal Preference Mapping with LSA using 27 real-world category appraisal

Maximizing input quality to support Innovation

Why link consumer and sensory data?

The sensory space in contrast to the Drivers of Liking space

How to plan a category appraisal

Product selection using graph theory

Optimizing sample presentation orders (positions, sequences, sequence spread)

Multiple day effect, complete vs. incomplete block designs

First mapping option for ingredient change project

Factor analysis

Assumptions and potential limitations of the approach​

Using the Drivers of Liking space

Maximizing consumer satisfaction

Creating optimal product portfolios and generating optima sensory profiles

Maximizing first choice against competition

Using machine learning to characterize uncovered consumer subgroups

Predicting new product performance

Determine the performance of new products using their sensory and analytical profiles      

LSA as a computer-aided design tool: Predict consumer acceptability using ideal points without new consumer testing

Novel applications of LSA in the real world

• Application of LSA to Descriptive Analysis data