See how flexible software tools and solutions can lift you to the next level as a researcher and practitioner. A mix of introductory and intermediate sessions will equip you with new tricks and techniques you can take back to the office and use immediately.
In conjoint analysis, we know that prohibitions can kill a viable conjoint design. Come learn how you can use a Conditional Pricing table that can solve some of those pesky prohibition issues. We will also investigate using a lookup table to show a graphic or combination of text when levels from one or more attributes appear together within a concept in a CBC task.
Have you ever needed to tweak the layout of your CBC exercise? Ever felt constrained by the formatting options available in a standard CBC question? Join us for a quick overview of Lighthouse Studio’s Free Format CBC, where you’ll learn how to customize your CBC tasks to successfully accomplish your research objectives.
This presentation describes the use of machine learning algorithms to estimate the market value of soccer players, based on a 2021 FIFA data set of around 9,000 observations. We apply several models and machine learning algorithms (CART, randomForest, support vector machines, linear discriminant analysis, gradient boosting, logit, fuzzy and naive bayes models) to produce these market values estimates, for different positions: goal keepers, defenders, strikers and so on, analyzing results (continuous and discrete market values).
From my years at Sawtooth Software, I have seen many users shy away from using loops in Lighthouse Studio. I believe the reason is they don’t understand how easy it can be to utilize them in their questionnaire. I hope to get the word out that it’s not difficult to use loops and they can save you some programming time. We will also learn some tips and tricks for assigning questions into structured blocks.
Not every conjoint analysis study should use the same conjoint analysis flavor. Depending on the aims, budget constraints, and complexity, some flavors are better! Most common variants today are full-profile CBC (AKA Discrete Choice Experiments), adaptive CBC (ACBC), partial-profile CBC, and Menu-Based Choice (MBC). In this session, we'll discuss the pros and cons of different conjoint analysis approaches and best practices within each.
Are you a professor teaching conjoint analysis or MaxDiff? Conjoint/MaxDiff are being used heavily in industry and we want to help you prepare your students to hit the ground running after they graduate. In this session, we will show you Sawtooth Software’s Free Teaching Suite which includes Discover, our streamlined web-based app. We’ll also talk about our College to Career program that allows students to use Discover for free at their first job after college.
In this session, we'll not only learn how we can use the Question Library to speed up the process of creating questionnaires, but also dip our toes into the vast customization made simple through the Community Question Library: from adding a calendar to collecting GPS data, from text highlighting to categorization, and even how to implement the most requested Lighthouse Studio feature.
Excel conjoint simulators are easy to share, client-friendly, and customizable delivery vehicles for conjoint simulators. In this breakout, we will cover essential simulator calculations, customized calculations such as weighting and segmentation, style considerations, and other customizations. We will also look at previous work done with advanced simulators and talk about the challenges to implement them.
Preference share simulations allow us to identify the respondents most likely to be interested in our new products, services, or features. We can build target customer profiling into our simulators or we can go a step further and characterize target segments of customers using tree-based classification models. In this session, we’ll illustrate both of these examples using data from empirical studies.
The world of MaxDiff keeps expanding with lots of interesting variations, including Anchored MaxDiff, Bandit MaxDiff, and more! In this session we’ll spend a few minutes each on the most popular variations so you can walk away with an understanding of what they are, what kind of outputs they produce, and how you can add them to your toolbox.
The desktop choice simulator is Sawtooth Software’s most powerful market simulator. You’ll be much more efficient with your simulator work if you let the software do the repetitious, heavy lifting. Sensitivity analysis and Search are related techniques that let you explore your product’s outcomes (e.g., share, revenue, profit) under dozens or millions of possibilities. Once you learn a few tricks and a bit about the syntax, you’re ready to go!