Sawtooth Software: The Survey Software of Choice

2018 Australia Training Event - Sydney

Now is your opportunity to attend advanced or introductory training in discrete choice methods (CBC/MaxDiff/ACBC) from the experts at Sawtooth Software. We only bring this training to Sydney about every three years, so don't miss out on this opportunity! The event takes place November 5–7 in Sydney, Australia at the Sydney Hilton hotel. Whether you are very expert in conjoint/choice methodologies or just getting started, you really should attend. Choose between the following courses:

  • Track 1 (November 5–7, 9:00–18:00): CBC/MaxDiff/ACBC Workshop—a practical hands-on workshop using Sawtooth Software's Lighthouse Studio platform. (Instructors: Aaron Hill & Bryan Orme)
  • Track 2 (November 5–7, 9:00–18:00): Becoming an Expert in Conjoint Analysis—an advanced seminar for those already very experienced in the methods. (Instructors: Bryan Orme & Keith Chrzan)

Register and pay by October 5 to receive the early bird rate of just USD $400 per day. After October 5, the price increases to USD $500 per day. Register today!

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: How simulated respondent data 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
  • Introduction to product optimization searches using the market simulator
  • 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)