Benefits of SIMALTO Expert System Analysis
1. Data Collection

• Relevant and unambiguous questions engage respondent’s interest ensuring high quality data collection
• Recognises benefits often do cost different amounts to deliver
• Realistic trade off priorities - customer cannot spend the same money twice
• Price is treated primarily as a constraint and not a variable
• All options on view, simultaneously, so total product specification is the context for prioritisation, not individual features in isolation

2. Data Analysis

• Analysed as individuals, no averaging of preference of values across customers
• No double counting of degree of preference - predictions based on probability of CONVERTING each person from one specification to another
• No single equation is assumed to underlie all customer preference - bespoke rules created for each survey
• Minimises problems with correlated attributes since a total pattern matching approach is used
• Cause and effect logic replaces ‘best-fit’ regression mathematics underlying ‘conjoint’ approaches which can cause illogical compensations
• Direct links to predictions of individual respondent potential activity change for any given specification
• Robust, checkable, well proven methodology used on hundreds of surveys worldwide