About
Articles by Chris
Contributions
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How can you keep your market research skills up-to-date as a self-employed consultant?
In addition to asking for 1:1 mentoring as described, another great source of feedback comes from presenting at conferences. When you present research or methods at a conference or training workshop, you will both hone your skills (you learn the most by trying to teach something!) and create opportunities for feedback. This will come in the form of reviewer feedback, audience questions, and side conversations with attendees.
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What are the different data mining roles and how can you determine which is right for you?
There are other roles that are similar to data scientist (DS) positions in the technical skills required and yet are substantially different in practice. One is Quantitative User Experience Researcher (Quant UXR). Quant UXR is effectively a data scientist in UX. That means addressing questions and decisions that are important for product design and understanding the user experience. Quant UXR differs from DS in being more typically oriented towards novel research problems and informing one-time decisions about product needs and strategies. It also requires expertise in handling and modeling human-generated data. Organizationally, Quant UXR is generally part of the larger engineering team whereas DS may report to various places.
Activity
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Wondering how your peers assess their marketing and advertising performance? We do too! Marketing Science Institute at Advertising Research…
Wondering how your peers assess their marketing and advertising performance? We do too! Marketing Science Institute at Advertising Research…
Liked by Chris Chapman
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Have you read the recent Nature article "AI models collapse when trained on recursively generated data"? I think this academic paper will have…
Have you read the recent Nature article "AI models collapse when trained on recursively generated data"? I think this academic paper will have…
Liked by Chris Chapman
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What I learned on my statistical profession long and winding road 1992: I first learn b=(X'X)^{-1} X'y (there's a story) 1994-1995: ANOVA and…
What I learned on my statistical profession long and winding road 1992: I first learn b=(X'X)^{-1} X'y (there's a story) 1994-1995: ANOVA and…
Liked by Chris Chapman
Experience & Education
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Amazon Lab126
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Volunteer Experience
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President, AMA Marketing Insights Council
American Marketing Association
- 2 years
Education
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Co-Founder
Quant UX Conference
- Present 2 years 11 months
Education
The first conference dedicated to Quant UX, with more than 2500 attendees in the inaugural year 2021. At quantuxcon.org
Publications
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Quantitative User Experience Research: Informing Product Decisions by Understanding Users at Scale
Apress
The definitive guide to the rapidly growing role of Quantitative User Experience (Quant UX) Research in product development. The book provides an overview of the skills you need on the job, presents hands-on projects with reusable code, and shares advice on starting and developing a career.
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Python for Marketing Research and Analytics
Springer
Other authors -
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R for Marketing Research and Analytics, 2nd ed
Springer
Hands-on, practical introduction to R and Quantitative Marketing Research. Available in English, Chinese, and Japanese, and used as a textbook in more than 100 universities in 26 countries.
Introduces R specifically for marketing applications. Provides the background in R syntax necessary to accomplish immediate tasks. Designed for self-learning by practitioners and use in marketing analytics courses.Other authors -
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Regulatory Focus as a Determinant of Brand Value
Journal of Product and Brand Management
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R for Marketing Research and Analytics
Springer
This book is a complete introduction to the power of R for marketing research practitioners. The text describes statistical models from a conceptual point of view with a minimal amount of mathematics, presuming only an introductory knowledge of statistics. Hands-on chapters accelerate the learning curve by asking readers to interact with R from the beginning. Core topics include the R language, basic statistics, linear modeling, and data visualization, which is presented throughout as an…
This book is a complete introduction to the power of R for marketing research practitioners. The text describes statistical models from a conceptual point of view with a minimal amount of mathematics, presuming only an introductory knowledge of statistics. Hands-on chapters accelerate the learning curve by asking readers to interact with R from the beginning. Core topics include the R language, basic statistics, linear modeling, and data visualization, which is presented throughout as an integral part of analysis.
Later chapters cover more advanced topics yet are intended to be approachable for all analysts. These sections examine logistic regression, customer segmentation, hierarchical linear modeling, market basket analysis, structural equation modeling, and conjoint analysis in R.Other authors -
Organizations
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American Marketing Association
President (former), Marketing Insights Council
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Recommendations received
3 people have recommended Chris
Join now to viewMore activity by Chris
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“He compared the slide-generation capability of Microsoft's AI tools to middle school presentations, according to a transcript of a call with the…
“He compared the slide-generation capability of Microsoft's AI tools to middle school presentations, according to a transcript of a call with the…
Liked by Chris Chapman
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This is really great advice. I wish that I could have known them earlier.
This is really great advice. I wish that I could have known them earlier.
Liked by Chris Chapman
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Great advice (and applies to qual UXR portfolio presentations)
Great advice (and applies to qual UXR portfolio presentations)
Liked by Chris Chapman
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