Siebel Institute Sensory Panel Management course


Date / Time: Tuesday, October 19th, 2021 - Friday, October 22nd, 2021 at All Day (add to calendar)
Event type: --
Location: Siebel Chicago Campus
Price: $1905
Register / View: Siebel Institute Sensory Panel Management course

Ensure the quality and consistency of your beer by learning how to build and manage proficient tasting panels for your brewery, with Siebel’s Sensory Panel Management course.

Description

The first line of quality control and product evaluation in any brewery is formed by a trained taste panel. By effectively utilizing taste panels appropriately and collecting and analyzing the results compiled from trained tasters, and taking the right actions based on the results, your brewery will improve quality, consistency and profitability.

With instruction given by brewing industry sensory panel experts, this course instructs you in the tools and techniques used by many of today’s leading craft breweries to assess their products and analyze data to ensure beer of the best quality and consistency. This course is critical for breweries of every size, and can also benefit brewing guilds looking to form member taste panels towards evaluating and improving the quality of beers produced by their members.

Prerequisites

All students applying for a program, module or course must be at least twenty-one (21) years of age. For this course, prior brewing knowledge is not required, but students will benefit from existing knowledge of brewing technologies and/ or related sciences.

What I’ll learn

Definition of Panel and Panel Leader
Basic Sensory Physiology: Human Flavor Perception
Definition of Sensory Evaluation
Non-Physiological Influences on Flavor Perception
Personnel, facilities, resources required, etc.
Establishing Panels for Breweries of Any Size
Motivations, Rewards, Validation and Retention
Running a Panel and Training the Trainer
Difference Tests: Duo/Trio, Triangle, etc.
Descriptive Tests: Characteristics, Intensity, etc.
Significance and Analysis – data analysis

Categories: ProcessQuality Control

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