In his introduction, Nova writes:
“While ethnography generally draws on qualitative data, it does not not mean that quantitative approaches shouldn’t be employed in the research process. Combining the two leads to a “mixed-method approach” that can take various forms: data collection and analysis can be either separated or addressed together, and each of them can be used in service of the other. Of course, this isn’t new in academic circles and corporate ethnography but there seems to be a renewed interest lately in this topic.
One of the driving forces of this renewed interest is the huge amount of information produced by people, things, space and their interactions — what some have called “Big Data“. The large data sets created by people’s activity on digital devices has indeed led to a surge of “traces” from smartphone apps, computer programs and environmental sensors. Such information is currently expected to transform how we study human behavior and culture, with, as usual, utopian hopes, dystopian fears and *critical sighs* from pundits.
Although most of the work of Big Data has focused on quantitative analysis, it is interesting to observe how ethnographers relate to it. Some offer a critical perspective, but others see it as an opportunity to create innovative methodologies to benefit from this situation.
Aside from Rebekah Rousi’s post (featured here yesterday), EthnographyMatters will feature various case studies and perspectives on the implications of mixed-methods approaches, including Fabien Girardin (on how he used sensor data to yield field observations in a study for Le Louvre in Paris), Alex Leavitt (discussing his research on Tumbler using a computational ethnography perspective), Tricia Wang (sharing her thoughts about the opposite of Big Data, in what she calls “thick data”) and David Ayman Shamma from Yahoo! Research (describing his personal perspective on the topic).
We are an international experience design consultancy helping companies and organisations to innovate their products, services and processes by putting people and their experiences first.
The September issue of the Harvard Business Review (HBR) contains a lengthy essay, entitled Building an Insights Engine, on how Unilever has created the organizational capabilities to “transform data into insights about consumers’ motivations and to turn those insights into strategy.” The article was written by Frank van den Driest and Keith Weed of a […]
This week Experientia joins our colleagues and peers in Minneapolis at EPIC 2016, the premier international gathering on ethnography and design in industry. The theme for the conference this year is Pathmaking, emphasizing the power of ethnography to create transformative innovation, growth and strategic success for companies, industries and communities. On the second day of […]
Can behavioral change address local energy issues, raise people’s awareness energy consumption issues, and directly support non-profit organizations at the same time? With the Nice pilot of the CITYOPT project, we have seen strong suggestions that it can. It also suggests that the sense of belonging to a local community is a strong motivation for […]
Patient-centricity is one of the defining issues facing clinical trials in the pharma industry. The past few years have seen a growing awareness by pharmaceutical companies of the importance of patient-centricity – but they have also illustrated that not everyone is clear on just what patient-centricity is, or how to achieve it. After using UX […]
Every year, the Energy-efficient Buildings (EeB) Public Private Partnership (PPP) publishes the EeB PPP project review – a round-up of energy-efficiency projects that have been co-funded by two European Commission schemes. This year, the print and digital booklet design was done by Experientia, in particular by our talented visual and interaction designer Dohun Jang. Experientia […]
One of the things we do here at Experientia that really sets us apart from other UX agencies is behavioral modeling. Our cognitive and behavioral models go beyond the standard customer journeys and personas (both useful tools, and often preliminary steps to behavioral modeling) to create frameworks that can be used to make people more […]