evidence-based decision making

Creating Resilient Research Findings: Using Ethnographic Methods to Combat Research Amnesia

Kristen Guth speaking at EPIC2022. Slide reads "Organizations can learn by reflection on memories, or shared understandings and beliefs, of specific events and contexts
KRISTEN L. GUTH Reddit, Inc. DOWNLOAD PDF Product teams, including those I work with, struggle to connect the challenges observed in prior research to issues that endure in the field and market space. As a shortcut for efficiency gains, product partners rely on researchers to succinctly summarize deep insights, sometimes preferring reductive quantitative interpretations to enable a bias toward action in product development cycles. Challenges facing researchers in product development include maintaining the relevance of prior research, providing a way to make it evergreen and accessible, and building on it to deepen and expand an existing model of behavior. This case introduces the concept of Research Amnesia, which poses a threat to organizational resilience. Using core ethnographic methods, a strategic methodological approach is outlined to frameshift the value of existing research within a company to develop new insights, bring together disparate analyses and teams, and propel product partners forward by offering more questions...

Ethnography, Economics and the Limits of Evidence

by ERIN B. TAYLOR, Canela Consulting & Holland FinTech Evidence produced within quantitative disciplines like economics and finance carries an aura of gospel. The numbers, models, and forecasts we see in economic reports and market analyses in the news and reports seem certain, authoritative, and unarguable. Built on large data sets that are analyzed with widely accepted theories and tools, economic and financial evidence have become hugely influential in governance and business—so much so that more qualitative approaches have been sidelined. Even political economy, the original economics, has been pushed away in favor of what’s now called ‘evidence-based decision-making’. The presumption is that numerical data is the only solid information, and that the analytical tools used in economic and market analysis are reliable. Of course, as we know now, this faith in economic evidence can be dangerous. As markets crashed around the world during the global financial crisis of 2007–2008, confidence in all kinds of quantitative...