Summer 2017 Training Event - Park City, Utah

This summer, during the week of July 17–22, 2017 at the luxuriant Hotel Park City, a beautiful mountain resort just 35 minutes away from Salt Lake City International Airport, Sawtooth Software will present three educational programs:

  • July 17-19: Choice Modeling Workshop (CBC/MaxDiff/ACBC)  $1600
  • July 17-19: Becoming an Expert in Conjoint Analysis Seminar $1600 NEW
  • July 20-21: Menu-Based Choice (MBC) Workshop  $1200

You will receive a $500 discount on tuition if you attend courses across all five days (July 17–21).

Hotel Park City

CM Workshop

Day 1 of 3: Introduction to CBC

This session introduces participants to discrete choice (CBC) analysis through interactive, hands-on training.

  • Conjoint methodology: overview, concepts, and objectives
  • Formulating attributes and levels
  • Designing conjoint experiments
  • Best practices / common mistakes related to CBC
  • Choosing among the four experimental design strategies: Complete Enumeration, Shortcut, Balanced Overlap, and Random
  • Prohibitions: are they universally bad? Testing the impact of modest to severe prohibitions
  • Design Testing: Quick Test vs. more advanced test using simulated respondents. How the advanced test can help with sample size decisions

Day 2 of 3: Intermediate CBC

This session builds upon concepts learned in the introductory segments of this training. Attendees will also receive practical experience creating surveys in Sawtooth Software’s Lighthouse Studio system and analyzing the results. We'll go beyond the basics of CBC to cover:

  • Analyzing CBC data using Counts, Logit, Latent Class, and hierarchical Bayes (HB)
  • Using market simulators to estimate preference for competitive products in market scenarios, including price sensitivity
  • Conditional Pricing/Display: customizing price ranges and concept display without the use of prohibitions
  • Introduction to Alternative-Specific Designs

Day 3 of 3: MaxDiff and Adaptive CBC

This session introduces participants to two of our most popular survey strategies: MaxDiff (best/worst item scaling) and Adaptive CBC.

  • Designing, programming, and analyzing MaxDiff experiments
  • MaxDiff Analyzer tool and TURF analysis
  • Benefits and motivation for Adaptive CBC (ACBC)
  • Designing, programming, and analyzing ACBC studies
  • When to use non-adaptive CBC and Adaptive CBC (ACBC)