Case Study—In this case study we describe how we collaborated with a Colombian healthcare provider company and enabled its decision makers to understand the power of stories and other types of qualitative evidence in healthcare contexts. The stories became a tool for recognizing singularities in a...
Tag: EPIC2018
Human Sensemaking in the Smart City: A Research Approach Merging Big and Thick Data
This paper aims to contribute to the debate on the integration of ethnography and data science by providing a concrete research tool to deploy this integration. We start from our own experiences with user research in a data-rich environment, the smart city, and work towards a research tool that...
Contextual Analytics: Towards a Practical Integration of Human and Data Science Approaches in the Development of Algorithms
As algorithms play an increasingly important role in the lives of people and corporations, finding more effective, ethical, and empathetic ways of developing them has become an industry imperative. Ethnography, and the contextual understanding derived from it, has the potential to fundamentally...
Humanizing Quant and Scaling Qual to Drive Decision-Making
Case Study—The Amazon Prime Video User Experience (UX) Research team endeavored to balance qualitative and quantitative insights and translate them into the currency that drives the business, specifically customer engagement, to improve decision-making. Researchers conducted foundational...
International Business Ethnography: Are We Looking for Cultural Differences?
In international business ethnography, clients and subjects don’t share the same background. Without an understanding of the underlying factors affecting the subject’s behaviors, data can lead to false home-market based assumptions about cause and effect. Where do we as researchers look to detect...
How Modes of Myth-Making Affect the Particulars of DS/ML Adoption in Industry
The successes of technology companies that rely on data to drive their business hints at the potential of data science and machine learning (DS/ML) to reshape the corporate world. However, despite the headway made by a few notable titans (e.g., Google, Amazon, Apple) and upstarts, the advances...
The Perfect uberPOOL: A Case Study on Trade-Offs
Case Study—One of Uber’s company missions is to make carpooling more affordable and reliable for riders, and effortless for drivers. In 2014 the company launched uberPOOL to make it easy for riders to share their trip with others heading in the same direction. Fundamental to the mechanics of...
Revitalising Openness at Mozilla: A Mixed Method Research Approach
Case Study—This is a case about how Mozilla, the open source browser company, set out to reconnect with ‘collaborating in the open’ to regain its competitive advantage. This case describes how a multi-disciplinary research team used ethnographic, market, and data analysis to articulate and clarify...
When Customer Insights Meet Business Constraints: Building a Go-to-Market Strategy for a Smart Home Offering in a Regulated Space
Case Study—This case draws on work in the energy efficiency industry where many utilities rely on data-driven insights and decision-making to encourage consumers to adopt energy-saving products and behaviors. In this highly regulated industry, utility staff must show value through big data, and...
Doing Ethnography in AirSpace: The Promise and Danger of ‘Frictionless’ Global Research
‘AirSpace’, according to Kyle Chayka, is the increasingly homogenized experience of the western(ized) business traveller, driven by major tech platforms (including Google, Airbnb and Uber.) As international travellers, ethnographers must account for the impact of AirSpace on their research...