Open AccessScaling Out (Not Only Up) Distributed Collaboration Models to Get Work Done
Author(s) -
DORNADIC ALICIA,
LAVOIE NIKKI,
FLORES SHEILA SUAREZ,
TUYGAN ELVIN
Publication year - 2020
Publication title -
ethnographic praxis in industry conference proceedings
Language(s) - English
Resource type - Journals
eISSN - 1559-8918
pISSN - 1559-890X
DOI - 10.1111/epic.12022
Subject(s) - scaling , work (physics) , scale (ratio) , order (exchange) , computer science , knowledge management , public relations , business , political science , engineering , physics , mechanical engineering , geometry , mathematics , finance , quantum mechanics
In this catalyst, we the authors describe the benefits of ‘scaling out': reaching out beyond one's organization to bring in external partners to accomplish UX research. Organizations scale out their research efforts in order to cover more ground, draw from more specialties, or conduct more research more quickly than they would be able to alone. As opposed to growing an in‐house team to meeting research needs ('scaling up'), scaling out can be a more inclusive approach to generating user insights, where the voices of diverse research partners throughout the world are brought together to produce powerful UX research outcomes. A case study example of work with suppliers and clients illustrates scaling out. Collective intelligence pushes scaling out even further, as it counts research participants, users and potential users as part of the network of partners who get work done.