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 accessArtificial intelligence and human wisdom will transform how and what do in the future, but we must learn our way towards that future. We aspire to ensure that synthesis becomes faster and richer; to develop a ‘no waste research’ posture; to unleash KM to broaden reach, deepen insight generation, and leverage methodological and analytical techniques that leverage AI in quantitative and qualitative approaches.
Artificial intelligence and human wisdom will transform how and what do in the future, but we must learn our way towards that future. We aspire to ensure that synthesis becomes faster and richer; to develop a ‘no waste research’ posture; to unleash KM to broaden reach, deepen insight generation, and leverage methodological and analytical techniques that leverage AI in quantitative and qualitative approaches.
The combination of CBC and market simulation is a powerful tool for understanding consumers’ choices when presented with a variety of audio products. But what if some of the products are configurable, with the option to unlock more features for an additional fee after purchase? Tune in as we compare several options for handling configurable products in a choice exercise, along with all the New Wave song references you’ve come to expect from a Bose presentation.
The combination of CBC and market simulation is a powerful tool for understanding consumers’ choices when presented with a variety of audio products. But what if some of the products are configurable, with the option to unlock more features for an additional fee after purchase? Tune in as we compare several options for handling configurable products in a choice exercise, along with all the New Wave song references you’ve come to expect from a Bose presentation.
As General Manager of Commercial Intelligence at Coca-Cola, Renata Soares, along with Whitelaw & Co., developed a market simulation model based on Sawtooth Software’s CBC with HB analysis of utilities. The model guided Coke’s new package introductions in the US, market share expansion in Brazil, response to sugar tax increases in Mexico, and many other initiatives. Renata will describe how they developed the simulator and implemented it in a variety of applications within Coke.
As General Manager of Commercial Intelligence at Coca-Cola, Renata Soares, along with Whitelaw & Co., developed a market simulation model based on Sawtooth Software’s CBC with HB analysis of utilities. The model guided Coke’s new package introductions in the US, market share expansion in Brazil, response to sugar tax increases in Mexico, and many other initiatives. Renata will describe how they developed the simulator and implemented it in a variety of applications within Coke.
Join Supernal as we delve into revolutionizing urban travel with electric vertical takeoff and landing (eVTOL) aircraft. Our presentation will uncover key findings from our recent U.S.-based conjoint analysis, detailing consumer attitudes toward pricing, shared vs. private rides, and market potential. Learn how we’re breaking down barriers to make aerial mobility a reality for everyone and discover the strategic shifts this research is driving for a more efficient, sustainable urban future.
Join Supernal as we delve into revolutionizing urban travel with electric vertical takeoff and landing (eVTOL) aircraft. Our presentation will uncover key findings from our recent U.S.-based conjoint analysis, detailing consumer attitudes toward pricing, shared vs. private rides, and market potential. Learn how we’re breaking down barriers to make aerial mobility a reality for everyone and discover the strategic shifts this research is driving for a more efficient, sustainable urban future.
Tribal Credit is a Fintech startup providing credit to Small-Medium Enterprise clients in emerging markets in the form of credit cards, revolving-capital accounts, and local/international payments. As a Silicon Valley startup, there's a strong culture of making data-driven decisions but also developing their products at break-neck speed. These two values often clash. We'll dive into the complexities and challenges faced when trying to deliver high quality research in a company that is changing rapidly.
Tribal Credit is a Fintech startup providing credit to Small-Medium Enterprise clients in emerging markets in the form of credit cards, revolving-capital accounts, and local/international payments. As a Silicon Valley startup, there's a strong culture of making data-driven decisions but also developing their products at break-neck speed. These two values often clash. We'll dive into the complexities and challenges faced when trying to deliver high quality research in a company that is changing rapidly.
Come, take a tour on a conjoint safari at P&G. We’ll discuss how this discrete choice method is just the ticket for product / concept design in the CPG industry. Cast all your “prohibitions” aside! Along the journey, we’ll try to avoid picking up bad panelists thumbing for a ride, while making sure that the good ones (and their research guides) get a great view of the product stimuli from beginning to end. We’ll observe how these “interactive” stimuli tend to travel together out there in the wild. We’ll also search deep within the design space until we finally spot the perfect specimen from multiple objectives. Who wouldn’t be “willing to pay” to see that?
Come, take a tour on a conjoint safari at P&G. We’ll discuss how this discrete choice method is just the ticket for product / concept design in the CPG industry. Cast all your “prohibitions” aside! Along the journey, we’ll try to avoid picking up bad panelists thumbing for a ride, while making sure that the good ones (and their research guides) get a great view of the product stimuli from beginning to end. We’ll observe how these “interactive” stimuli tend to travel together out there in the wild. We’ll also search deep within the design space until we finally spot the perfect specimen from multiple objectives. Who wouldn’t be “willing to pay” to see that?
As you gain more experience in choice modeling, you come to realize that CBC (Choice-Based Conjoint) is a specific and limited case within a broader family of choice experiments. Sometimes clients push examples upon you that bring you to this realization. Sometimes you see examples at conferences and in white papers that open your eyes and spur your interest. There is, of course, the classic example resembling a fast-food restaurant where respondents can pick one of multiple items to add to their cart for purchase. There are other examples that don’t immediately strike you as being an MBC, but that exceed CBC’s capabilities and can be handled with Sawtooth Software’s MBC software. Examples include asking respondents if they will buy the product, rent the product, or do neither. Or, situational choice in which the choice of multiple fixed alternatives is a function of respondent characteristics, buying situation characteristics, or patient characteristics. Join Bryan Orme in this 45-minute clinic to learn about the possibilities with MBC!
As you gain more experience in choice modeling, you come to realize that CBC (Choice-Based Conjoint) is a specific and limited case within a broader family of choice experiments. Sometimes clients push examples upon you that bring you to this realization. Sometimes you see examples at conferences and in white papers that open your eyes and spur your interest. There is, of course, the classic example resembling a fast-food restaurant where respondents can pick one of multiple items to add to their cart for purchase. There are other examples that don’t immediately strike you as being an MBC, but that exceed CBC’s capabilities and can be handled with Sawtooth Software’s MBC software. Examples include asking respondents if they will buy the product, rent the product, or do neither. Or, situational choice in which the choice of multiple fixed alternatives is a function of respondent characteristics, buying situation characteristics, or patient characteristics. Join Bryan Orme in this 45-minute clinic to learn about the possibilities with MBC!
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.
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.
