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Presented at 10th Sensometrics Meeting in Rotterdam, July 2010
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Presented at 10th Sensometrics Meeting in Rotterdam, July 2010
Sensory Considerations in BIB Design
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Compusense Inc.
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This presentation is the result of the first process of design thinking. The problem was to redesign the path school - work.
Empathize and Define: Redesign the path school-job
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Compusense's Dr. Chris Findlay presents "Consumer Driven Product Development for Export Markets".
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Check-All-That-Apply (CATA) questions are increasingly being incorporated into consumer tests because they provide a simple mechanism for consumers to communicate their perceptions of products being evaluated. We review existing and propose new approaches for analysing data obtained from such a study. Contingency tables are well known, and can be pictured using mosaic plots. Correspondence analysis (CA) using the χ2 distance provides dimensionality reduction, but Hellinger's distance is often preferred where rarely cited attributes skew results. Word clouds can be used to determine citation frequency for responses that might be entered in open comment format by consumers (e.g. upon checking "other" in a CATA question). Cochran's Q test provides a univariate test for differences between 3 or more products, and the sign test can be used to assess pairwise differences. To our knowledge no omnibus hypothesis test is available for assessing global differences. We propose such a test, based on randomization and Cochran's Q statistics, in which the null distribution is formed from data re-randomizations. Multidimensional alignment (MDA) is suggested to investigate the relationship between products and CATA attributes. The φ-coefficients, proposed to understand relationships between CATA attributes, are readily visualized using MDS. Consumers can be asked to evaluate an ideal product, and the gaps between the real and ideal products can inform product improvements. Penalty and penalty-lift analyses can reveal (positive and negative) hedonic drivers. Methods are illustrated by means of CATA study on whole grain breads.
Existing and new approaches for analysing data from Check All That Apply ques...
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Consumer research has advanced its business relevance through segmenting consumer populations into clusters based upon liking. Products designed to meet the expectations and desires of specific niche markets have demonstrated commercial success. The studies that are typically designed to reveal liking segments require a relatively large number of products and a large sample of consumers in a complete block design. A study of 12 Cabernet Sauvignon wines was conducted using over 600 consumers recruited and tested for liking of 3 of the 12 wines in a BIB design. The data were subsequently analyzed for liking clusters with missing data replaced with the consumer’s individual mean. Four liking clusters successfully demonstrated different sensory liking profiles. The method was not robust. Consequently, a research program was initiated to develop a systematic approach to building designs using sensory information to ensure contrast. The Sensory Informed Design (SID) approach was applied to a 12-present-6 study of white breads. All breads were profiled using calibrated descriptive analysis. The results of the DA were used to construct a balanced experimental design (12:6) that included two smaller-sized SIDs (12:3 and 12:4) nested within the experiment to evaluate the efficiency and stability. Consumer data (n=400) were collected and missing data were imputed as part of a novel EM approach for mixture model-based clustering; the one latent factor model gave a six-cluster solution. In 2012, a study of whole grain breads was conducted with 570 consumers using an improved SID of 16:6, with nested designs of 16:3 and 16:4. The nested designs demonstrated stable clusters, provided internal validation and supported the results of previous work. The application of SID, EM imputation and model-based cluster analysis can dramatically reduce the resources required to conduct large category appraisals and deliver effective consumer clusters.
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The power of calibrated descriptive sensory panels
The power of calibrated descriptive sensory panels
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Presented at University of Stellenbosch, September 2010
Segmentation of BIB Consumer Liking Data of 12 Cabernet Sauvignon Wines
Segmentation of BIB Consumer Liking Data of 12 Cabernet Sauvignon Wines
Compusense Inc.
Presented by John Castura at 10th Sensometrics, Rotterdam, July 2010
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Best Practices in Equivalence Testing
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This case study explores how Compusense's Sensory department used Scheduling to dramatically reduce the time dedicated to panel recruitment, saving them valuable time, resources and budget.
Panel Recruitment and Scheduling Case Study
Panel Recruitment and Scheduling Case Study
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Compusense's Dr. Chris Findlay presents "Consumer Driven Product Development for Export Markets".
Consumer Driven Product Development for Export Markets
Consumer Driven Product Development for Export Markets
Compusense Inc.
Check-All-That-Apply (CATA) questions are increasingly being incorporated into consumer tests because they provide a simple mechanism for consumers to communicate their perceptions of products being evaluated. We review existing and propose new approaches for analysing data obtained from such a study. Contingency tables are well known, and can be pictured using mosaic plots. Correspondence analysis (CA) using the χ2 distance provides dimensionality reduction, but Hellinger's distance is often preferred where rarely cited attributes skew results. Word clouds can be used to determine citation frequency for responses that might be entered in open comment format by consumers (e.g. upon checking "other" in a CATA question). Cochran's Q test provides a univariate test for differences between 3 or more products, and the sign test can be used to assess pairwise differences. To our knowledge no omnibus hypothesis test is available for assessing global differences. We propose such a test, based on randomization and Cochran's Q statistics, in which the null distribution is formed from data re-randomizations. Multidimensional alignment (MDA) is suggested to investigate the relationship between products and CATA attributes. The φ-coefficients, proposed to understand relationships between CATA attributes, are readily visualized using MDS. Consumers can be asked to evaluate an ideal product, and the gaps between the real and ideal products can inform product improvements. Penalty and penalty-lift analyses can reveal (positive and negative) hedonic drivers. Methods are illustrated by means of CATA study on whole grain breads.
Existing and new approaches for analysing data from Check All That Apply ques...
Existing and new approaches for analysing data from Check All That Apply ques...
Compusense Inc.
Consumer research has advanced its business relevance through segmenting consumer populations into clusters based upon liking. Products designed to meet the expectations and desires of specific niche markets have demonstrated commercial success. The studies that are typically designed to reveal liking segments require a relatively large number of products and a large sample of consumers in a complete block design. A study of 12 Cabernet Sauvignon wines was conducted using over 600 consumers recruited and tested for liking of 3 of the 12 wines in a BIB design. The data were subsequently analyzed for liking clusters with missing data replaced with the consumer’s individual mean. Four liking clusters successfully demonstrated different sensory liking profiles. The method was not robust. Consequently, a research program was initiated to develop a systematic approach to building designs using sensory information to ensure contrast. The Sensory Informed Design (SID) approach was applied to a 12-present-6 study of white breads. All breads were profiled using calibrated descriptive analysis. The results of the DA were used to construct a balanced experimental design (12:6) that included two smaller-sized SIDs (12:3 and 12:4) nested within the experiment to evaluate the efficiency and stability. Consumer data (n=400) were collected and missing data were imputed as part of a novel EM approach for mixture model-based clustering; the one latent factor model gave a six-cluster solution. In 2012, a study of whole grain breads was conducted with 570 consumers using an improved SID of 16:6, with nested designs of 16:3 and 16:4. The nested designs demonstrated stable clusters, provided internal validation and supported the results of previous work. The application of SID, EM imputation and model-based cluster analysis can dramatically reduce the resources required to conduct large category appraisals and deliver effective consumer clusters.
Sensory Informed Design: An effective clustering of incomplete block consumer...
Sensory Informed Design: An effective clustering of incomplete block consumer...
Compusense Inc.
Presented at IUFoST 2010 in Cape Town, South Africa.
The power of calibrated descriptive sensory panels
The power of calibrated descriptive sensory panels
Compusense Inc.
Presented at University of Stellenbosch, September 2010
Segmentation of BIB Consumer Liking Data of 12 Cabernet Sauvignon Wines
Segmentation of BIB Consumer Liking Data of 12 Cabernet Sauvignon Wines
Compusense Inc.
Presented by John Castura at 10th Sensometrics, Rotterdam, July 2010
Best Practices in Equivalence Testing
Best Practices in Equivalence Testing
Compusense Inc.
This case study explores how Compusense's Sensory department used Scheduling to dramatically reduce the time dedicated to panel recruitment, saving them valuable time, resources and budget.
Panel Recruitment and Scheduling Case Study
Panel Recruitment and Scheduling Case Study
Compusense Inc.
Destacado
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Consumer Driven Product Development for Export Markets
Consumer Driven Product Development for Export Markets
Existing and new approaches for analysing data from Check All That Apply ques...
Existing and new approaches for analysing data from Check All That Apply ques...
Sensory Informed Design: An effective clustering of incomplete block consumer...
Sensory Informed Design: An effective clustering of incomplete block consumer...
The power of calibrated descriptive sensory panels
The power of calibrated descriptive sensory panels
Segmentation of BIB Consumer Liking Data of 12 Cabernet Sauvignon Wines
Segmentation of BIB Consumer Liking Data of 12 Cabernet Sauvignon Wines
Best Practices in Equivalence Testing
Best Practices in Equivalence Testing
Panel Recruitment and Scheduling Case Study
Panel Recruitment and Scheduling Case Study
Ejercicio final
1.
BUSQUEDA Y FILTRADO
2.
ELABORACION
3.
PUBLICADO
4.
DIFUNDIR
5.
EVALUAR
6.
URL
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