Despite all the talk about data-informed design, there is not much agreement on what data really means for a product or service’s user experience. That might be because teams don’t yet have a shared language for talking about data, or because access to data is uneven or siloed, or perhaps because team members have different goals for the use of data.
At its core, data-informed design can be difficult to define, because there is not even agreement on what counts as data. We tend to think in dichotomies: quantitative and qualitative, objective and subjective, abstract and sensory, messy and curated, business and user experience, science and story. But the more I work with data and the more familiar I become with the data-science community, the more inclusive my definition of data becomes. Read More
From my discussions with fellow UX and CX professionals, it’s clear that we share a sense of pressure and frustration when it comes to big data. Regardless of the organization or industry, we encounter similar challenges around grappling with, understanding, and leveraging big data in our efforts to realize exceptional customer experiences.
Attending the NG Customer Experience Summit in Canberra recently—alongside many executives from Australia’s leading corporations—reinforced my awareness of this sentiment. Although big data has been a huge focus of industry discussion for quite some time, most large corporations have not yet embedded a framework into their operations that would let them harness its real potential. Read More