From DDL Wiki

Sawtooth Software is a company that provides software packages to provide a friendly user interface for creating web-based conjoint interviews and subsequent analysis. Based on the subject matter for study, there are five major conjoint methods defined by Sawtooth:

• Choice-Based Conjoint (CBC)

The most general way to create conjoint survey. It is suitable for small to medium numbers of attributes in questions.

• Adaptive Choice-Based Conjoint (ACBC)

Similar to CBC but allows larger numbers of attributes and levels. It also includes non-compensatory rules to reduce the consideration set.

• Maximum Difference Scaling (MaxDiff)

An implementation of Best-Worst scaling. It is suitable for 'single-attribute' studies, identifying rank order preferences.

• Adaptive Conjoint Analysis (ACA)

An adaptive method to create conjoint survey for many attributes.

• Traditional Full-Profile Conjoint (CVA):

Create full-factorial conjoint survey, only suitable for few attributes in questions.

Sawtooth Software provides estimation methods for logit model, latent class model and Hierarchical Bayes model. For example, the estimation tools for CBC include:

1. Latent Class estimation (LClass)
2. Hierarchical Bayes estimation (CBC/HB)

External link

Sawtooth Software Homepage
Sawtooth Software Product Advisor