Sensory Analysis

Hedonic liking, JAR scales, CATA questions and purchase intention

Paste and analyze normalized consumer sensory data. Compare products, identify deviations from the ideal, determine sensory attributes associated with liking and generate actionable product improvement results.

Study setup

Paste the datasets that form part of the sensory study. Sensory evaluations are required; consumer information and general questions are optional.

1 Data

2 Variables

3 Configuration

4 Validation

Sensory evaluations

Required

One row for each consumer and evaluated sample.

First row contains column names

Consumer information

Optional

Demographic, behavioral or segmentation variables with one row per consumer.

First row contains column names

General study questions

Optional

Questions answered once by each consumer and not associated with a specific sample.

First row contains column names