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Session Spotlight: CARD
Today, we spotlight yet another of the amazing tutorials being held at UXPA 2013 in Washington, D.C.! In their full-day tutorial, “CARD: A Collaborative Tool for Rapid Task Analysis and Design,” Len Conte, Mark Ainscow, Debbie Cook, Stephen Reinach, and Lissa … Continue reading →
Session Spotlight: Moderator’s Survival Guide: Techniques for Handling Common, Tricky, and Sticky Situations During User Research
Today’s Session Spotlight features another of this year’s amazing Tutorials. In this evening tutorial, Fiona Tranquada and Donna Tedesco take you beyond your standard moderation skills, into the crazy real world of those participants and situations and how to deal with them. … Continue reading →
Presenter:
Kaitlan Chu; Cleveland Clinic; USA Zhijie Li; Senior Multichannel Analytics Analyst; USA Jane Chen; Sr. Manager, Web Engagement Analytics, CVS Caremark; USA
Title:
Faster, easier, more accurate: Proven new analysis methods for large card sorts
Day/Date:
Tuesday, July 9, 2013
Time:
6:00 pm - 9:30 pm
Location:
Columbia 1
Session Type:
Half Day Tutorial
Description:
In response to audience feedback to my presentation last year at UXPA 2012, I'd like to demonstrate how a UXer with no statistic background like myself can be trained to perform quantitative analyses on large card sorts. It greatly cuts down the analysis time frame & yields a statistic-optimized site map, which has been cross-validated through a scenario-based usability test. The new methods presented are the result of collaboration between data scientists & UXers.
Audience:
UX Fundamentals/Novice practitioners
Track:
Research
Biography:
Kaitlan is sole IA & UX thought leader for a team in charge of the most-visited website among US hospitals. She started & instilled UX practices in Cleveland Clinic, a 40,000-employee organization, repeatedly ranked as America's Top Hospital by US News.In her previous/adventurous life in the start-up world, she led interaction design for websites providing big data visualization. She later orchestrated UX strategies designed to market the resulting web products to Fortune 500 executives, bringing in multi-millions in revenue.Kaitlan has spoken internationally at industry & academic conferences. As an academic, she authored usability studies funded by the National
Li is a certified SAS programmer with 6-year experience in statistical analysis and modeling in a large organization and in academic setting. He specializes in data quality control and model building with big data. His skills in statistical modeling includes regression, factor analysis, cluster analysis, multi-dimensional analysis, cell plot, neuro network and decision trees. His expertise lies in manipulating massive datasets, multi channel campaign analysis, Geotargeting, consumer profiles, customer segmentation, and predictive modeling.
A marketing analytics manager with 10 years of experience in marketing science. Strengths in marketing mix modeling, predictive modeling, customer segmentation, multi channel campaign ROI analysis, and quantitative marketing research. Specialties:Certified SAS Advanced Programmer issued by SAS InstitutionSoftware: SAS Enterprise Miner, SAS Enterprise Guide, SAS JMP, SPSS, EXCELExpert in marketing mix modeling.Proficient in predictive modeling using Decision Tree, Neuro Network, and RegressionGoogle Analytics, Google Adwords.
