Come learn how to optimize your product features and price from the world’s most friendly company in the insights/strategy space! The Optimizing Features and Pricing program is a three-day introductory workshop covering three current and popular choice research methodologies: CBC (Choice-Based Conjoint), MaxDiff (Maximum Difference Scaling), and ACBC (Adaptive CBC). Participants will create choice surveys and analyze sample data using a team-oriented case study approach.
This is a hands-on practical workshop. The focus will be on the use our of hybrid Windows/cloud-based tool, Lighthouse Studio, but we will also spend significant time showing you how easy it is to conduct essential conjoint analysis and MaxDiff and analysis using our new fully cloud-based Discover platform.
Why conjoint analysis has flourished and been so widely used in business/insights applications and economic investigations
The different types of conjoint/choice analysis and learning when you should use each
How to build choice models that deliver meaningful data
How to design, field, and interpret choice-based conjoint (CBC) exercises
How to analyze CBC and MaxDiff data using counts, logit, latent class, and hierarchical Bayes
How to build and use what-if market simulators
How to use advanced features for CBC such as conditional pricing, conditional display, and alternative-specific designs
How to design exercises using the variety of MaxDiff (best/worst) refinements
How to use adaptive choice-based conjoint (ACBC) exercises to get more precise data using interactive interviews that adapt to each respondent
