In collaboration with Sawtooth Software, we held SKIM/Sawtooth Software 2019 European Conference and Training Event in Paris, France. The European event consisted of four days of workshops, tutorials, and conference papers. It brought together market research practitioners and academics to learn about and discuss quantitative methods in marketing research.
Date and time: Tue-Fri, 9-12 April 2019 from 9.00 to 18.00
Venue: Paris La Defense Hotel, Paris – France
SKIM/Sawtooth Software Sessions 2019 at a glance
Simultaneous breakout sessions are planned from 9-11 April. All attendees will be together for the final conference session on the 12th of April 2019. See here for more detailed info
Tuesday, 9 April
- CBC Workshop
Room 1: 9.00 – 18.00
- Market Simulator A-Z
Room 2: 9.00 – 18.00
- Advanced Lighthouse Studio
Room 3: 9.00 – 18.00
Wednesday, 10 April
- CBC Workshop
Room 1: 9.00 – 18.00
- Menu Based Choice (MBC) Workshop
Room 2: 9.00 – 18.00
- Experimental Conjoint Solutions
Room 3: 9.00 – 13.00
- Drivers Analysis: Execution & Delivery
Room 3: 14.00 – 18.00
- Segmentation Studies with Emphasis on Client Management
Room 4: 9.00 – 10.55
- Strategies for Delivering Actionable Results – Conjoint Analysis & MaxDiff
Room 4: 11.05 – 13.00
- Advanced MaxDiff Survey Programming Workshop
Room 4: 14.00 – 18.00
Thursday, 11 April
- MaxDiff for Beginners: From Proposal to Reporting
Room 1: 9:00 to 10:55
- Power Tools: MaxDiff Typing Tool, CBC/HB Model Explorer, Bandit MaxDiff
Room 1: 11:05 to 13:00
- Market Simulator Essentials
Room 1: 14:00 to 18:00
- Situational Choice Experiments
Room 2: 9:00 to 10:55
- Bring Conjoint Analysis and MaxDiff to Your Work or University
Room 2: 11:05 to 13:00
- Lighthouse Studio – Beyond the Basics
Room 2: 14:00 to 18:00
- A Practitioner’s View
Room 3: 9:00 to 18:00
- Adaptive Methods & Real-Time Feedback
Room 4: 9:00 to 10:55
- Tree-Based Models for Beginners
Room 4: 11:05 to 13:00
- Segmentation: Best Practices for Actionable Results
Room 4: 14:00 to 18:00
Friday, 12 April
Some of the topics are
- Constructed, Augmented MaxDiff: A New Case and Threshold Augmentation
- Too Much Information?: The Curious Case of Augmented MaxDiff
- Extreme (300+) Concept Testing: Combining Bandit MaxDiff, CBC, and Qualitative Judgments
- Talk to Your Conjoint – Using a Chatbot in a Conjoint Interview
- Linking MaxDiff and CBC within a Hierarchical Choice Model
- What Is the Impact of Having Prohibitions in Choice-Based Conjoint Analysis?
- An Adaptation of RFC in 2-Attribute Exercises
- Revisiting Ensembles: A Straightforward Approach to Increase Model Accuracy?
- Applying Machine Learning to CBC Data
- Customer Classification into Clusters Using XGBoost