
Presentations and Study Readouts
Here, you will find a mix of presentations I've compiled to be slide decks, presentations, or some combination thereof. For each, I have added as much information as possible without compromising NDAs, confidentiality agreements, or the identities of any participants or clients.
01
Modernizing Market Strategy: A data-driven evolution of customer journey maps
I conducted this study with one of my design + marketing teams while at Capital One. While the details of the market strategy must remain confidential, the overview presented here shows a data-driven approach to keep our strategy modern, thus making it more effective while minimizing advertising noise for our customers.
02
Consumer purchase decisions through the eyes of the law
While doing expert witness work at Exponent, many of my clients were attorneys, themselves hired on behalf of a party (usually the manufacturer of a product) in a class-action lawsuit. For a class-action law suit to be valid, the class must exhibit "commonality"; i.e., each party in the class must have had the same or similar experience with the product or service in question. This is a research hypothesis that can be tested empirically! Read more to find out how.
03
Finding the signal in the noise: When user feedback saves lives
While much of UX is digital, UX in the physical world is often a matter of life and death. This is particularly true when a widely-used medical device is associated with serious, but extremely infrequent malfunctioning. Read more to determine how I showed my engineering team that the most critical component of a machine is often the person pressing its buttons.
04
The best data stories are Quant AND Qual.
From the get-go, behavioral neuroscientists know that they must corroborate multiple study results with different types of data for their results to be reliable. Despite what you see in pop culture, a brain region "lighting up" on an MRI does not mean one specific phenomenon is occurring in the brain, just as having a questionable genetic marker does not automatically indicate disease. To tell our data story, we must weave these methods and results together for a multi-focal perspective. Read more from my postdoctoral research, to get an inside peek into how I was trained as a researcher.