What We Do

Advanced Analytics

The solutions we envision are grounded as much in the science of consumer behavior, cognition, and human factors as they are in sound business strategy and the art and craft of content, visual, and experience design. Combined with our extensive, real-world experience working with clients to overcome often daunting business challenges, these strategies and solutions have translated into growth in market share, higher customer satisfaction, and increased sales, subscriptions, and donations.

But the power of what we help you accomplish isn’t measured simply by fungible feelings or subjective points of view, it also hinges on hard numbers, quantifiable, objective performance measures. To that end, we make significant, appropriate use of various forms of analytics throughout all phases of our engagements. This helps to identify specific areas or strategies useful to improving your organization's performance, validates the potential effectiveness of the recommendations we make, and helps to identify — early on — potential problems to be addressed or opportunities to be seized that might not be readily apparent.

Whether we're establishing baseline usability characteristics of existing web sites to gauge the success of new user experience designs, comparing measures of user satisfaction within and between your most important user groups, or working to identify the right changes to your online news site, marketing campaign, or customer service approach, quantitative data provides an important and non-partisan point of view that ultimately contributes to the success of your project.

Our analysis involves:

  • Reviewing data to identify potential trends, patterns, and anomalies;
  • Statistical analysis to identify more complex facts and relationships;
  • Data evaluation informed by experience, common sense, and the real-world implications posed by your audience and business realities;
  • Qualitative and quantitative analyses to assess your data in a number of ways, from basic frequency and distribution analysis to more advanced analytical procedures: cluster analysis; text mining; factor analysis; path analysis; regression (OLS, Logistic, Multiple, Linear, Logit/Probit); analysis of variance (ANOVA/MANOVA); conjoint analysis; and more.