This episode, originally a webinar, focuses on 'Segment Finder,' a tool designed to identify needs-based segments in CBC (Choice-Based Conjoint) and MaxDiff data. Hosted by Brian Orme and Brian McEwen from Sawtooth Software, the episode covers the importance of market segmentation and the drawbacks of relying solely on mean values. It explains the historical and modern methods of segmentation, including the limitations of traditional rating scales and the advantages of MaxDiff and CBC analyzed through latent class multinomial logistic regression. Practical suggestions for conducting effective segmentation and cleaning data are also discussed. The episode includes a live demonstration of the Segment Finder tool in action, showcasing how it effortlessly segments respondents based on their latent preferences and aids in meaningful data analysis. 

Join Aaron Hill on the Real Research Podcast as he hosts Ben Cortese and Keaton Wilson from KS&R. Dive into their journey of leveraging Shiny, an R-based tool for delivering advanced data solutions to clients. Discover the challenges and successes they encountered in transitioning from Excel to Shiny for conjoint analysis and menu-based choice modeling. Learn about the practical applications, benefits, and future potential of integrating AI within these frameworks. Whether you are an experienced data scientist or new to market research, this episode offers valuable insights into scalable, efficient, and flexible data-driven decision-making. 

This episode features Megan Peitz, founder and CEO of Numerious, who delves into effective strategies for presenting conjoint analysis results. Megan shares her expertise on aligning stakeholder objectives, simplifying complex data, and using simulations to drive actionable insights. Through a detailed framework encompassing alignment, translation, simulation, visualization, and activation, Megan offers practical tips and real-world examples to elevate your conjoint analysis presentations. Don't miss this comprehensive guide to turning data into decisive action!

00:00 Introduction and Disclaimer

00:38 Welcome and Speaker Introduction

02:14 Understanding Conjoint Results

05:13 Framework for Presenting Conjoint Results

06:00 Pillar 1: Alignment

13:02 Pillar 2: Translation

19:23 Pillar 3: Simulation

28:09 Pillar 4: Visualization

30:30 Pillar 5: Activation

38:18 Typical Deck Outline and Conclusion

48:13 Closing Remarks

In this episode, originally recorded as a webinar, we are joined by Professor Tim Smith, founder and CEO of Wiglaf Pricing and adjunct professor of economics at DePaul University. Tim, who is the author of 'Pricing Done Right' and 'Pricing Strategy,' delves into the complexities of pricing and market research. He discusses the value-based pricing framework, different pricing strategies, and the significance of market pricing. Tim also reviews various market research methodologies such as Van Westendorp's Price Sensitivity Meter, Gabor-Granger, and Conjoint Analysis, highlighting their strengths and weaknesses. Throughout the webinar, he emphasizes the importance of having a solid hypothesis and understanding economic value to the customer for effective pricing research. Don't miss these valuable insights on how to set prices right and maximize value for shareholders.

00:38 Meet Professor Tim Smith

01:16 Starting the Presentation

02:00 Value-Based Pricing Framework

03:07 Market Pricing and Strategy

06:54 Economic Value to Customer

16:16 Pricing Research Methodologies

27:13 Conjoint Analysis

32:41 Conclusion and Final Thoughts

In this episode we dive into making surveys more efficient with the use of Relevant Items MaxDiff. Guest speaker Chris Chapman, founder and president of the Quantitative User Experience Association, shares his extensive experience and insights. Chris discusses the motivation behind Relevant Items MaxDiff, its implementation, and how it addresses issues in data quality, respondent experience, and actionable results. Using examples from his work at Google and a live demonstration involving movie ratings, Chris illustrates how the method can improve survey accuracy and focus. Learn about different MaxDiff options, the importance of pretesting, and how Sawtooth Discover can facilitate this process. Ideal for researchers looking to enhance their survey methodologies.

00:38 Guest Introduction: Chris Chapman

01:33 Overview of Relevant Items MaxDiff

06:41 Challenges with Standard MaxDiff

10:31 Implementing Relevant Items MaxDiff

20:16 Live Demonstration and Analysis

28:22 Discussion and Conclusion

Join Aaron Hill in this episode of the Real Research Podcast as he hosts Milad Sadreghaemy, a PhD candidate at Utrecht University in the Netherlands. Milad discusses his journey from being a pharmacist to researching sustainable pharmaceutical methods, highlighting the environmental impact of unused medicines. Discover the importance of environmentally friendly pharmaceuticals, patient attitudes towards sustainable medicine, how tailored educational approaches could reduce pharmaceutical waste, and about Milad's ongoing research on cost-effective syringe production and its implications for healthcare.

This episode provides a comprehensive guide to creating impactful online surveys. Starting with establishing clear objectives, you will learn how to build a hierarchical structure that aligns questions with research objectives without overwhelming respondents.

Bryan Orme, President of Sawtooth Software, and James Pitcher, Global Marketing Science Brand Practice Lead at GfK/NIQ take an expansive dive into price sensitivity measurement using conjoint analysis.

Inspiring data-driven action—it's what every applied researcher strives for. But how do you achieve it? From choosing the right data visualizations to framing your narrative effectively, every decision matters in ensuring your research resonates and prompts stakeholders to act.