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Sensemaking Analysis

By Ellen Powers

Social science researchers use the term "sensemaking" to describe a type of mindfulness— an intentional but non-judgmental awareness of one's own thoughts and of the actions taking place in the present moment—that combines rationality and appreciative behavior. Sensemaking enables a person to make sufficient sense out of an unorganized, even chaotic, flow of information and events to take action when no clear path or decision exists. Sensemaking is not about finding "the truth" or "getting it right," but means, according to highly cited organizational behavior theorist Karl Weick, "continually redrafting an emerging story so that it becomes more comprehensive, incorporates more of the observed data, and becomes more resilient in the face of criticism."

Sensemaking may be a contributing factor to allowing successful teams to function well in face of high uncertainty and stress. Teams that insist on finding "the right answer" may exhibit self-limiting behaviors, while teams that exhibit self-enabling behaviors are more likely to "stay in the flow" and make considerable progress despite time pressures, rapidly changing events, and the complex interactions among team members within the ongoing situation.

MITRE researchers used data from a government sponsored Red team/Blue team exercise, called Project Looking Glass (PLG), to examine whether sensemaking might help to explain why the teams that "played" Red consistently outperformed the Blue teams. To clarify terminology, the Red teams played the role of the adversary, while Blue played a joint analytical team.

Is the Difference Sensemaking?

Sensemaking Analysis

Harvard University analyzed the results of a PLG exercise, held in January 2005, via an extensive self-reporting questionnaire and observers' ratings sheets. MITRE reviewed the results and repurposed key portions of the data to investigate whether sensemaking might serve as a differentiator between the performance of Red and Blue teams.

We developed a table of attributes based on principles reported in the sensemaking literature and further categorized each attribute as an enabler or inhibitor of sensemaking. We then used the table to identify questions in both the observers' daily rating sheets and the questionnaire that might indicate that the team members were contributing to or inhibiting sensemaking. The analysis, based on the table to the right, of the questionnaires showed that the Red teams scored higher in almost all sensemaking indicators than the Blue teams.

Way Ahead

As a result of the analysis of the PLG exercise, MITRE developed two self-reporting instruments to assess sensemaking behavior. A pre-self-assessment was devised to measure sensemaking potential, that is, the sensemaking predisposition that individuals bring to the table before joining a team; and a post-self-assessment was devised to measure sensemaking perception, that is, how individuals perceived their own and the team’s sensemaking performance after the completion of the exercise. These instruments will be tested for validity and reliability using data gathered during several upcoming exercises.

Knowing the potential (pre-selfassessment), presence (observed), and perceived manifestations (post-self-assessment) of sensemaking could alert government sponsors to the role that sensemaking plays in team performance and encourage them to take sensemaking skills into account when building intelligence analysis teams. Furthermore, incorporating sensemaking skills in school curriculums could increase the available pool of analysts who can nimbly manage information when participating in joint analysis teams.

Although team composition (in terms of subject matter expertise and individual experience) will make a difference in outcome, composing teams of those with sensemaking skills could tip the scales in favor of enhanced performance in the face of high uncertainty. Sponsors could refine measures of an individual's sensemaking potential, like those used in the pre-exercise selfassessments, to match their needs. An interesting future research challenge could be to determine if a certain critical mass of members with sensemaking skill could tip the balance in a team that also includes those with limited or little sensemaking skill.

Sensemaking Analysis

Social and Behavioral Sciences

Summer 2008
Vol. 10, No. 3


Social and Behavioral Sciences


Introduction

Kerry Buckley and Lindsley Boiney


The Art of Enterprise Systems Engineering

Joanne DeVincent, Theda Parrish, and Craig Petrun


Social Contexts of Enterprise Systems Engineering

Jon W. Beard and Jo Ann Brooks


Covert Process, Overt Impact: The Role of Social Science

Elissa R. Allen


Understanding Customers' Technology Needs

Jill Drury


Understanding Arabic Nonverbal Behavior

LeeEllen Friedland and Dan Loehr


Modernizing Air Traffic Management: An Example of Future En Route Operations

Scott H. Mills


Building Autonomous Cognitive Models of Air Traffic Controllers

Steven Estes, Chris Magrin, and Frank Sogandares


Identity Groups in Decision Making

Lashon B. Booker


Enabling Trust and Performance in Military Virtual Teams

Eugene A. Pierce


Sensemaking Analysis

Ellen Powers


Exploring Social Bookmarking

Donna Cuomo, Laurie Damianos, and John Griffith


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For more information, please contact Ellen Powers using the employee directory.


Page last updated: October 9, 2008   |   Top of page

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