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Workplaces are increasingly full of complex technologies embedded in dynamic infrastructures demanding workers to assess and understand unanticipated problems. In order to comprehensively appraise the role of technological complexity and the uncertainties it affords in a complex, high-stakes setting, we interviewed and observed members of three interdisciplinary STEM laboratories. Findings revealed that organizational members navigated uncertainty by cultivating ignorant expertise (i.e., not knowing but figuring it out). This form of expertise emerged as a combination of two practices: the practice of emergent troubleshooting and the practice of negotiating new practices. In discussing these findings, we offer three key takeaways. We demonstrate that ignorant expertise: (a) operates as a dialectic of hesitancy and boldness and is mobilized through ignorant yet knowledgeable actions; (b) is communicatively performed through think-out-loud and storytelling techniques, and developing interpersonal rapport with organizational members; and (c) establishes technological complexity as a catalyst for organizing processes. 

Abstract The future of work will be measured. The increasing and widespread adoption of analytics, the use of digital inputs and outputs to inform organizational decision making, makes the communication of data central to organizing. This article applies and extends signaling theory to provide a framework for the study of analytics as communication. We report three cases that offer examples of dubious, selective, and ambiguous signaling in the activities of workers seeking to shape the meaning of data within the practice of analytics. The analysis casts the future of work as a game of strategic moves between organizations, seeking to measure behaviors and quantify the performance of work, and workers, altering their behavioral signaling to meet situated goals. The framework developed offers a guide for future examinations of the asymmetric relationship between management and workers as organizations adopt metrics to monitor and evaluate work.