For corporate researchers, led by corporate researchers. Come be inspired by real problems and solutions that can make a real difference to your firm and for your career.
Purchase accessAI has the potential to radically transform the way insights are generated – what research we do and how we do it – but our industry is just starting out on this journey. In this session, we’ll discuss some of the initial explorations that we are doing at Microsoft. We’ll cover some case studies, such as comparing synthetic responses via GPT to human responses (including conjoint to simulate customer decisions involving feature/price trade-offs), and other AI use cases such as text/video analytics.
AI has the potential to radically transform the way insights are generated – what research we do and how we do it – but our industry is just starting out on this journey. In this session, we’ll discuss some of the initial explorations that we are doing at Microsoft. We’ll cover some case studies, such as comparing synthetic responses via GPT to human responses (including conjoint to simulate customer decisions involving feature/price trade-offs), and other AI use cases such as text/video analytics.
Some questions can seem unanalyzable until you’re forced to find the right solution. In a series of failed experiments, we worked through multicollinearity, low sample sizes, and confounding seasonal effects to solve a core problem: what drives guest satisfaction at a theme park? Learn about our journey to a viable analysis, including the methodologies we combined and how we overcame these data challenges.
Some questions can seem unanalyzable until you’re forced to find the right solution. In a series of failed experiments, we worked through multicollinearity, low sample sizes, and confounding seasonal effects to solve a core problem: what drives guest satisfaction at a theme park? Learn about our journey to a viable analysis, including the methodologies we combined and how we overcame these data challenges.
Although many of us prefer choice-based conjoint methods for conducting survey-based pricing research, there are opportunities where van Westendorp PSM and monadic pricing experiments come in handy. In this presentation, Bryan Orme shows ways to make these widely used pricing approaches (PSM and monadic) work better than traditional applications/analysis we often see.
Although many of us prefer choice-based conjoint methods for conducting survey-based pricing research, there are opportunities where van Westendorp PSM and monadic pricing experiments come in handy. In this presentation, Bryan Orme shows ways to make these widely used pricing approaches (PSM and monadic) work better than traditional applications/analysis we often see.
Our research, utilizing Sawtooth Software's ACBC, identified key customer segments that have now reached a crucial implementation phase and are being evaluated through A/B testing. Our methodology underscores the importance of achieving critical mass for the broad acceptance of data-driven marketing within sizable corporations. By equipping business units with advanced analysis and Simulation Tools, and ensuring comprehensive training and widespread buy-in, the application of our conjoint results has taken on momentum, evolving, and growing organically. Here we want to explain the process to achieve this broad buy-in.
Our research, utilizing Sawtooth Software's ACBC, identified key customer segments that have now reached a crucial implementation phase and are being evaluated through A/B testing. Our methodology underscores the importance of achieving critical mass for the broad acceptance of data-driven marketing within sizable corporations. By equipping business units with advanced analysis and Simulation Tools, and ensuring comprehensive training and widespread buy-in, the application of our conjoint results has taken on momentum, evolving, and growing organically. Here we want to explain the process to achieve this broad buy-in.
MaxDiff surveys and importance scores have become an instrumental and frequent tool within our company for an abundance of use cases. Although the core of MaxDiff results was very effective in informing business strategy and decisions, we have now tested and utilized multiple additions and methods to a MaxDiff approach that have increased the interpretability for business stakeholders and also the potential actionability and overall impact of the research.
MaxDiff surveys and importance scores have become an instrumental and frequent tool within our company for an abundance of use cases. Although the core of MaxDiff results was very effective in informing business strategy and decisions, we have now tested and utilized multiple additions and methods to a MaxDiff approach that have increased the interpretability for business stakeholders and also the potential actionability and overall impact of the research.