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Virtual Customer (VC)

Virtual Customer is a multidisciplinary approach to improving customer input to the product development process.

VC has reinvented traditional marketing science methods such as conjoint analysis, perceptual mapping, Vocalyst, and logit analysis. We apply them in novel ways to web-based methods. Product developers can now identify customer preferences more quickly, simply, and easily.

Initiative Leader:
Dr. John Hauser
Kirin Professor of Marketing,
Sloan School of Management

John Hauser



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Key Research Papers:

Metrics Thermostat

The Virtual Customer

Product Development:
Managing a Dispersed Process

Application and Test of Web-based Adaptive Polyhedral Conjoint Analysis

FastPACE: Fast Polyhedral Adaptive Conjoint Estimation

Current Efforts
User Design
Gathering better data faster by engaging customers directly in the design process.

Securities Trading of Concepts (STOC)
Evaluating product concepts by using financial market methods in an entertaining game setting.

Information Pump
Proprietary knowledge is safeguarded. Each participant sees only the appropriate and necessary information.

FastPace (Fast Polyhedral Adaptive Conjoint Estimation)
Reducing the questioning burden by using advanced polyhedral methods.

Reinforcement Learning
Processing much larger numbers of customers and product features by developing “super-adaptive” methods.

Benefits

Results
User Design
Applications to automobiles, ski resorts, telemetrics, laptop computers, and laptop computer bags.

Information Pump
Commercial applications for the Applied Marketing Science company and Lava-Lamp brand motion lamps.

STOC (Securities Trading of Concepts)
Applications to automobiles, laptop computer bags, and bicycle pumps.

Virtual Customer Website
Demos, working papers, and downloads available at mitsloan.mit.edu/vc.

Research Faculty
John Hauser
Initiative Leader
Kirin Professor of Marketing
Sloan School of Management

Drazen Prelec
Associate Professor of Marketing
Sloan School of Management

Duncan Simester
Associate Professor of Management Science
Sloan School of Management